David Broniatowski

The George Washington University, in collaboration with the NIST Professional Research Experience (PREP) program, is seeking a Senior Research Fellow to join the Materials Measurement Laboratory. This postdoctoral-level opportunity focuses on advancing next-generation semiconductor manufacturing metrology, with a particular emphasis on nanocalorimetry for plasma process monitoring. The successful candidate will design and build a custom plasma reactor that integrates NIST-produced sensors, enabling real-time characterization of etching and deposition processes. Key responsibilities include designing and assembling a custom plasma reactor, utilizing plasma diagnostics such as Langmuir probes and optical emission techniques, analyzing data on radical and ionic fluxes, and publishing findings on plasma-surface interactions in high-impact journals. The research is highly interdisciplinary, spanning materials science, plasma physics, chemistry, and chemical engineering, and is ideal for candidates with a strong background in instrumentation and process monitoring. Applicants must possess a Ph.D. in Materials Science, Physics, Chemistry, or Chemical Engineering, with hands-on experience in custom plasma reactor design and assembly. Expertise in plasma diagnostics and a background in calorimetry or thermal property measurements are essential. U.S. citizenship is preferred but not strictly required. The position is based in Washington, DC, United States, and offers the opportunity to work closely with leading researchers at both George Washington University and NIST. To apply, candidates should use the provided application link and ensure they meet all qualifications. This is a paid research position, though specific funding details are not disclosed in the announcement. For more information, applicants may contact Professor David Broniatowski or refer to the provided LinkedIn profile.

The George Washington University, in collaboration with the NIST Materials Measurement Laboratory, is seeking a Postdoctoral Fellow for the NIST Professional Research Experience (PREP) program. This high-tech research opportunity focuses on advancing Thermoreflectance Optical Pump-Probe methods to address thermal management challenges in next-generation microelectronics and Wide Bandgap Power Electronics. The successful candidate will work directly in the NIST NanoFab, designing and refining instrumentation for measuring thermal properties in thin-film and multilayer materials. Key responsibilities include designing, building, and operating pump-probe setups, measuring thermal property data for various stakeholders, depositing and characterizing thin films in a cleanroom environment, and developing physics-based analysis software using MATLAB. The research is highly interdisciplinary, combining elements of physics, materials science, electrical engineering, and optics, with a strong emphasis on instrumentation and metrology. Applicants should possess a Ph.D. in Physics, Optics, Materials Science, or Engineering, with specialized experience in thermoreflectance-based measurement instrumentation. A strong background in thermal metrology and optics, as well as experience with semiconductor manufacturing and device failure analysis, is required. Candidates must also be eligible for a Department of Commerce background check for facility access. This postdoctoral fellowship offers the opportunity to contribute to cutting-edge research in thermal management at the nanoscale, working alongside experts in the field and utilizing state-of-the-art facilities. The position is funded through the NIST PREP program, though specific stipend and funding details are not disclosed in the announcement. Interested candidates should apply via the provided application link and ensure they meet all eligibility requirements.

The George Washington University, in collaboration with the NIST Material Measurement Laboratory (MML), is seeking a Postdoctoral Researcher for the NIST Professional Research Experience (PREP) program. This position supports the Circular Economy program by advancing lithium battery recycling research. The successful candidate will focus on developing analytical methods to accurately quantify valuable minerals in 'black mass' (mixed battery waste) to facilitate their recovery and reuse, addressing critical challenges in clean energy storage as the world transitions to electric vehicles. Key responsibilities include method development using ICP-OES and Neutron Activation Analysis, complex sample preparation involving milling, grinding, and acid digestion, and validation of measurement accuracy to improve the critical mineral supply chain. The role also requires working safely with hazardous chemicals and under radiological conditions due to the use of nuclear analytical methods. Applicants must have a Ph.D. in Chemistry, Chemical Engineering, or Materials Science, with at least three years of experience in ICP-OES and acid digestion. Familiarity with lithium-ion battery chemistry or mineral processing is preferred. U.S. citizenship is preferred but not mandatory. The position is ideal for analytical chemists interested in contributing to sustainable energy solutions and the circular economy. To apply, candidates should use the provided application link and ensure they meet the stated qualifications. For further information, applicants may contact Professor David Broniatowski via LinkedIn.

The George Washington University, in collaboration with the National Institute of Standards and Technology (NIST), is seeking a Postdoctoral Fellow to join the NIST Professional Research Experience (PREP) program. This opportunity is ideal for physicists specializing in quantum information science and quantum networks. The successful candidate will work with the Quantum Information Group (QIG) at NIST, focusing on the Metropolitan Quantum Network Testbed. The research involves developing measurement science for the quantum internet, including the use of photon-number resolving detectors and high-quality single-photon sources to verify and validate entanglement links. Key responsibilities include achieving sub-10 picosecond synchronization of network nodes, developing methods to verify entanglement links using entangled states of light, in-situ analysis of fiber links (such as polarization, optical path length, loss, and noise), and implementing software agents for the Quantum Network control manager using Python and MATLAB. The position is designed for experimentalists ready to transition quantum networking technologies from the laboratory to metropolitan fiber grids. Applicants must hold a Ph.D. in Physics and have at least two years of relevant experience in quantum information science or quantum networks. Experience with single-photon sources and detectors, as well as a strong aptitude for precision measurements and system automation, is required. Candidates must also be eligible for a Department of Commerce background check for facility access. Familiarity with Python and MATLAB is preferred. This postdoctoral position offers the chance to work at the forefront of quantum networking research, contributing to the development of new devices and protocols for future quantum networks. The announcement does not specify funding or stipend details. Interested candidates should apply via the provided application link and ensure they meet all eligibility requirements.

The George Washington University invites applications for a Postdoctoral Researcher position within the NIST Professional Research Experience (PREP) program. The successful candidate will join the Fundamental Thermodynamics Group, focusing on the development of next-generation Photonic Integrated Circuit (PIC) based temperature sensors. This research aims to advance chip-scale metrology by designing, nanofabricating, characterizing, and packaging PIC devices, as well as developing on-chip photonic thermometers that serve as deployable primary temperature standards. The position leverages the state-of-the-art NIST NanoFab cleanroom facility for device fabrication and involves significant data analysis and modeling to guide design improvements. Key research areas include photonic integrated circuits, thermodynamics, nanofabrication, integrated photonics, temperature sensors, and metrology. Candidates should have a Ph.D. in Natural Sciences, Engineering, or a related field, with strong experimental skills and hands-on experience in micro- or nanofabrication and integrated photonics design. Applicants with expertise in numerical simulations or device-level metrology are encouraged to apply. U.S. citizenship is strongly preferred. This opportunity is ideal for photonics engineers passionate about redefining temperature realization through chip-scale technology. The position is supervised by Professor David Broniatowski, Professor of Engineering Management and Systems Engineering at George Washington University. Interested candidates should apply via the provided application link and ensure they meet all qualification requirements.

The George Washington University, in collaboration with the NIST Professional Research Experience (PREP) program, is seeking a Postdoctoral Fellow to join the Chemical Process and Nuclear Measurements Group. The research focuses on the recovery of critical minerals such as lithium and rare earth elements from electronic scrap (e-scrap), a key challenge in advancing the circular economy and sustainability in the United States. The successful candidate will use advanced wet chemistry and nuclear analytical methods, including ICP-OES, ICP-MS, XRF, and Neutron Activation Analysis, to characterize material streams and identify opportunities to improve recycling efficiency. Responsibilities include sample preparation (milling, grinding, microwave-assisted acid digestion), developing quantification methods, and working safely with hazardous chemicals and radioactive materials under radiological conditions. The role aims to publish impactful findings that will guide the future of the U.S. critical mineral supply chain. Applicants must have a Ph.D. in Chemistry, Chemical Engineering, or Materials Science, with experience in microwave acid digestion and ICP-OES. Knowledge of critical minerals analysis and comfort working with radioactive materials are required. U.S. citizenship is preferred. The position is based in Washington, D.C., United States, and is supervised by Professor David Broniatowski. Interested candidates should apply via the provided application link and ensure they meet all qualifications. This is an excellent opportunity for analytical chemists passionate about sustainability and advanced materials research.

The George Washington University, in collaboration with the National Institute of Standards and Technology (NIST), is seeking a Research Associate for the Professional Research Experience (PREP) program. This hands-on metrology position focuses on supporting Dimensional Calibration Services at NIST, specifically involving the maintenance and calibration of NIST's Dimensional Reference Masters, such as gage blocks. The successful candidate will play a key role in ensuring the traceability of length measurements by performing critical calibrations and comparing results to historical data. Key responsibilities include measuring NIST reference gage block masters and customer gages, learning and performing measurements using Optical Interferometry, acquiring and calibrating new reference masters, and handling, cleaning, and distributing gages to technical professionals. This role is ideal for early-career engineers or scientists passionate about precision measurement and maintaining industry standards. Applicants should hold a B.S. in Science or Engineering and have at least 11 months of relevant experience, which may include internships or professional work. Familiarity with NIST gage block calibration methods and quality system requirements is essential. Candidates must also be eligible to obtain a Department of Commerce background check for facility access. This opportunity offers direct experience with the nation's primary standards for length and the chance to work alongside leading experts in metrology and calibration. For more information and to apply, visit the provided application link.

The George Washington University, in collaboration with the NIST Material Measurement Laboratory, is seeking a Postdoctoral Fellow for the NIST Professional Research Experience Program (PREP). This opportunity is ideal for researchers with expertise in vibrational spectroscopy and a passion for environmental science, particularly in the area of microplastics characterization. The successful candidate will join a team focused on pioneering high-throughput characterization methods for microplastics, directly supporting sustainability and the circular economy. The core mission of this postdoctoral role is to advance a novel Quantum Cascade Laser (QCL) Infrared (IR) microscopy technique. The primary scientific challenge involves accurately measuring the size distribution and chemical identity of microplastics in water, overcoming the strong IR absorption of water and the severe scattering effects of particles smaller than 10 micrometers. Key responsibilities include advancing the hardware and setup for high-throughput QCL-IR microscopy, collecting and analyzing complex IR hyperspectral images of microplastic samples, improving measurement assurance for reproducible size quantitation, and publishing method advancements and datasets. Applicants should have a Ph.D. in Chemistry, Physics, Polymer Physics, or a related field, with at least two years of hands-on experience in IR microscopy. Deep analytical skills with vibrational spectral data are essential. The position offers the chance to work with state-of-the-art microscopes and contribute to foundational science in environmental monitoring and materials measurement. The research directly supports sustainability initiatives and the circular economy by improving the detection and analysis of microplastics in environmental samples. The fellowship is funded through the NIST PREP program at George Washington University. While specific stipend and funding details are not provided, the position is a paid postdoctoral opportunity. Interested candidates should apply via the provided application link and prepare materials that highlight their relevant experience and expertise. For more information, candidates may contact Professor David Broniatowski, the academic supervisor for this position.

The George Washington University, in collaboration with the National Institute of Standards and Technology (NIST), is seeking a highly experienced Senior Research Scientist for the NIST Professional Research Experience (PREP) program. This leadership role is based within the NIST Temperature and Humidity Group, specifically in the Standard Platinum Resistance Thermometer Calibration Laboratory (SPRTCL), the United States’ primary facility for the realization of the kelvin under ITS-90. The successful candidate will lead advanced research supporting the realization of the kelvin, develop novel non-metal fixed points to advance future temperature scales, and create and maintain rigorous temperature uncertainty budgets for primary standards. Additional responsibilities include improving the measurement capabilities and scientific output of the SPRTCL and representing NIST in international collaborations. Applicants must possess a Ph.D. in Physics or Physical Sciences, have extensive professional experience in temperature metrology at a senior level, and demonstrate deep expertise in ITS-90 and Standard Platinum Resistance Thermometers (SPRTs). A proven track record of independent research and primary authorship on peer-reviewed papers is essential. U.S. citizenship may be required for this position. This opportunity is ideal for metrology leaders interested in defining research directions in thermometry and contributing to the advancement of temperature measurement standards. The position is part of the NIST PREP program at George Washington University. For more information and to apply, visit the provided application link.

The George Washington University, in collaboration with the National Institute of Standards and Technology (NIST), is seeking a Postdoctoral Fellow for the Professional Research Experience (PREP) program. This multidisciplinary opportunity focuses on Microparticle Control and Measurement within Optofluidic Systems. The successful candidate will join a collaborative team at NIST, working on the design, construction, and modeling of novel instrumentation for measuring chemicals, cells, and organelles in microflows. The research bridges microfluidic device fabrication and biological assay development, with key focus areas including device design for passive purification, optofluidics for quantifying fluorophores and particle sizes, bio-integration for maintaining cell cultures, and benchmarking using fluorescence microscopy and flow cytometry. Applicants should have a Ph.D. in Biomedical Engineering, Mechanical Engineering, or Chemistry, with at least three years of experience in microfluidic device design and control. Essential skills include clean room experience, proficiency with photolithography, and technical expertise in MATLAB, fluorescence microscopy, and flow cytometry. U.S. citizenship is preferred. The position offers the chance to work at the intersection of engineering, chemistry, and biology, contributing to innovative measurement tools in optofluidic systems. For more information and to apply, visit the provided application link.

The George Washington University, in collaboration with the NIST Material Measurement Laboratory (MML), is seeking a Senior Research Fellow for the NIST Professional Research Experience (PREP) program. This postdoctoral-level opportunity is ideal for researchers interested in building the infrastructure for Biofoundries and Cloud Laboratories, with a mission to enable distributed biomanufacturing through reliable, automated systems. The successful candidate will focus on developing transferable cell expansion processes and assay performance specifications, ensuring consistent production of living-cell reference materials across the U.S. bioeconomy. Key responsibilities include translating experimental designs into code for large-scale laboratory instrumentation such as liquid handlers and automated microscopes, managing mammalian cell cultures (especially iPSCs), and creating measurement infrastructure for next-generation platform manufacturing. The role also involves collaborating with multidisciplinary teams to publish open-science research. Applicants should possess a Ph.D. in Bioengineering, Chemical Engineering, Cell Biology, or Synthetic Biology, with deep experience in mammalian cell culture and iPSCs, as well as a proven track record in programming laboratory automation systems. Eligibility for a Department of Commerce background check is required. This position offers a unique opportunity to work at the intersection of stem cell biology and robotic automation, contributing to the advancement of biomanufacturing and open science. For more information and to apply, visit the application link provided. The position is based in Washington, DC, United States, and is supervised by Professor David Broniatowski at George Washington University.

The George Washington University, in collaboration with the National Institute of Standards and Technology (NIST), is seeking a highly motivated Research Associate/Assistant for the Professional Research Experience (PREP) program. This position is based in the Applied Economics Office (AEO) at NIST and focuses on research related to Community Resilience and the economic impacts of disruptive events such as hurricanes Maria and Fiona in Puerto Rico. Key responsibilities include supporting investigations into the economic consequences of natural disasters, developing methods to evaluate the impacts of disruptive events and persistent stressors, analyzing consumer preferences for product labeling, and evaluating stakeholder perceptions regarding future event uncertainty. The role requires strong skills in Stata for causal analysis, Excel for handling large-scale data, and LaTeX (Overleaf) for technical documentation. Experience with Large Language Models (LLMs) is also essential. Applicants must hold a Bachelor's degree in Economics, be U.S. citizens, and have at least one year of relevant research experience. A strong publication record, including at least one peer-reviewed and one first-author technical publication, is required. This opportunity is ideal for early-career economists passionate about disaster resilience and economic analysis. For more information and to apply, visit the application link provided. The position offers a unique chance to contribute to impactful research at the intersection of economics and community resilience.

The George Washington University, in collaboration with the NIST Professional Research Experience (PREP) program, is seeking a highly motivated Postdoctoral Fellow to join the Applied Economics Office (AEO) at NIST. This position focuses on rigorous research in Decision-Science for a Circular Economy, with key areas including consumer preferences for Battery Electric Vehicles and Circular Plastic Products. The successful candidate will lead quantitative research studies, design and implement stated preference surveys and conjoint experiments, and apply advanced discrete choice models, latent class models, and clustering techniques. The role also involves translating complex data into decision-relevant metrics such as willingness-to-pay and demand elasticities. Applicants should have a Ph.D. in Economics, Engineering, or a related quantitative field, with deep expertise in survey design, conjoint analysis, and discrete choice modeling. Proficiency in R and statistical modeling tools is essential. A strong publication record is required, including at least three peer-reviewed publications and at least one first-authored paper using survey data. U.S. citizenship is mandatory for this position. This opportunity is ideal for experienced researchers interested in consumer perceptions and sustainability within the circular economy. The position is based at George Washington University, with research conducted in partnership with NIST's Applied Economics Office. The announcement is made by Professor David Broniatowski, a leading academic in Engineering Management and Systems Engineering. For more information and to apply, candidates should visit the provided application link.

The George Washington University, in collaboration with the NIST Professional Research Experience (PREP) program, is seeking a highly motivated Postdoctoral Researcher to join the Quantum Measurement Division’s Applied Electrical Metrology Group. This position offers the opportunity to work on next-generation Integrated Photonic Sensors and Standards, with a focus on developing Photonic Integrated Circuit (PIC) based ac-dc voltage transfer standards and advancing ultra-sensitive nanophotonic thermometry. Key research areas include designing, fabricating, and characterizing novel PIC-based devices, as well as developing advanced optical read-out strategies using laser locking, spectroscopy, and frequency combs. The research spans the domains of Integrated Photonics and Optical Frequency Metrology, making it ideal for candidates with expertise in these fields. Applicants should possess a Ph.D. in Natural Sciences, Engineering, or a related field, and have hands-on experience in Laser Spectroscopy, Frequency Combs, Integrated Photonics, or Micro-/Nanofabrication. The position is part of the NIST PREP program, though specific funding details are not provided. This is an excellent opportunity for those interested in cutting-edge nanophotonics research and the development of advanced measurement standards. To apply, candidates should use the provided application link and ensure their materials highlight relevant research experience and skills. For more information, applicants may contact Professor David Broniatowski at George Washington University.

The George Washington University, in collaboration with the NIST Materials Measurement Laboratory, is seeking a Senior Research Fellow for the NIST Professional Research Experience (PREP) program. This postdoctoral-level opportunity is ideal for a chemoinformatics expert with a strong background in both software engineering and analytical chemistry. The successful candidate will play a pivotal role in maintaining and developing the software and analysis methods that underpin the NIST Mass Spectral Reference Libraries, which are essential tools for identifying compounds in complex chemical mixtures worldwide. Key responsibilities include maintaining and extending complex Microsoft Windows user interfaces for compound identification, developing data analysis algorithms to interpret mass spectra in terms of chemical structure, creating consensus mass spectral libraries for specialized NIST applications, and building interfaces between internal NIST programs and external data distributors. The position requires demonstrated expertise in Microsoft Visual C++ for chemical structure-based scientific database software, deep understanding of chemical structure analysis by computer, and facility in applying mass spectral fragmentation rules (electron ionization, electrospray tandem). Candidates must hold a Ph.D. and be eligible to obtain a Department of Commerce background check for facility access. The role offers the opportunity to directly impact how scientists interface with and interpret mass spectra, contributing to advancements in chemoinformatics, mass spectrometry, and analytical chemistry. The position is based at The George Washington University in Washington, DC, United States, and is part of a collaborative effort with NIST. For more information and to apply, visit the provided application link. This is a unique chance to join a leading research team and contribute to the scientific community's ability to analyze complex mixtures using advanced computational and chemical techniques.

The George Washington University, in collaboration with the NIST Professional Research Experience (PREP) program, is seeking a Postdoctoral Fellow to contribute to the NIST Smart Fire Fighting initiative. This research opportunity focuses on developing data-driven models for real-time flashover prediction in commercial buildings, aiming to reduce firefighter deaths and injuries. The project involves generating realistic fire data using CFAST Data Generation (CData), bridging fundamental fire dynamics with machine learning, and addressing challenges such as sensor failure and unknown building layouts to create robust safety tools. Applicants should have a Ph.D. in Fire Protection Engineering, Safety Science, Civil Engineering, or related fields. Required technical skills include proficiency in CData, CFAST, FDS, and programming languages such as Python, MATLAB, or R. A strong publication record in Q1 SCI journals is expected. U.S. citizenship is preferred. The position is supervised by Professor David Broniatowski, a faculty member in Engineering Management and Systems Engineering at George Washington University. This is an excellent opportunity for researchers interested in fire protection engineering, data science, and machine learning to make a significant impact on firefighter safety. The position is funded through the NIST PREP program, though specific funding details are not provided. Interested candidates should apply via the provided application link and ensure they meet the stated qualifications.

The George Washington University, in collaboration with the NIST Community Resilience Group, is seeking a highly motivated Senior Research Fellow to join the NIST Professional Research Experience (PREP) program. This postdoctoral opportunity focuses on advancing Life-Cycle Assessment (LCA) and Uncertainty Quantification for forward-looking building standards, particularly in the context of natural hazards such as wind, floods, and tornadoes. The research will address the limitations of current building codes, which often do not account for the changing frequency of natural hazards. With new standards like ASCE 7-28 introducing chapters to address these challenges, the project aims to integrate natural hazard impacts—especially seismic risks—into the LCA framework. Key responsibilities include quantifying uncertainties related to future hazard changes using non-stationary reliability methods, conducting Life Cycle Assessments for reinforced concrete buildings, and evaluating design trade-offs across the building life cycle to support multi-objective performance targets. Applicants should hold a Ph.D. in Civil Engineering (structural focus preferred) and possess extensive experience in Building LCA, Risk Assessment, and Performance-Based Earthquake Engineering. Additional expertise in Benefit-Cost Analysis and Uncertainty Quantification (UQ) is required. U.S. Citizenship is mandatory for this position. This is an excellent opportunity for structural engineering researchers interested in shaping the future of resilient building standards. The position is based at The George Washington University and is part of the NIST PREP program. For more information and to apply, please visit the application link provided.

The George Washington University is seeking a Postdoctoral Fellow to join the NIST Professional Research Experience (PREP) program, specifically within the NIST Fire Research Division. This position offers the opportunity to work at the cutting edge of quantitative fire safety science, focusing on the development of experimental and analytical tools to predict material flammability from ignition to fire growth across multiple scales. Key research areas include database development for material properties, multi-scale experimental testing (from mg-scale thermal decomposition to large-scale flame spread tests), and specialized studies on complex materials that deform, melt, flow, or char/smolder. The role also involves bridging the gap between bench-scale data and full-scale fire modeling, contributing to advancements in fire safety science. Applicants should hold a Ph.D. in Fire Protection Engineering, Materials Science, Mechanical Engineering, Chemistry, or Physics, and have at least two years of relevant laboratory experience in experimental design. Proficiency in Python, MATLAB, or R for data analysis is required. U.S. citizenship is preferred but not mandatory. This is an excellent opportunity for researchers dedicated to advancing fire safety through rigorous material science and experimental research. The position is based at George Washington University in collaboration with NIST, located in Washington, D.C., United States. For more information and to apply, visit the provided application link.

The George Washington University, in partnership with the NIST Life Cycle Engineering Group, is seeking a highly motivated Postdoctoral Fellow for the NIST Professional Research Experience (PREP) program. This position focuses on Engineering for a Circular Economy, with a particular emphasis on Product Design for Microelectronics. The research will involve developing new metrics and measurement methods to integrate circularity assessment into chip and microelectronic design, utilizing Life Cycle Assessment (LCA), simulation, and AI-driven design to improve recoverability, and partnering with stakeholders to outline best design practices and support the development of new industry standards. The role also includes identifying data needs to enable end-of-life stakeholders, such as recyclers and municipalities, to recover more value from microelectronic products. Key research areas include Circular Economy, Microelectronics, Product Design, Life Cycle Assessment, Sustainable Design, Systems Engineering, AI-driven Design, and Supply Chain Interoperability. The position is supervised by Professor David Broniatowski, a faculty member at George Washington University. Applicants should have a Ph.D. (preferred) or M.S. with a strong research record in relevant fields, a strong background in Sustainable Design Principles and Systems Thinking, proficiency in Python or MATLAB for data analysis, and familiarity with micro/nano fabrication processes. U.S. citizenship is required for this opportunity. This is an excellent opportunity for researchers passionate about designing the future of sustainable electronics and contributing to the development of industry standards in microelectronics. The application process is open, and interested candidates should apply via the provided link.

The George Washington University, in collaboration with the NIST Professional Research Experience (PREP) program, is seeking a Senior Research Fellow (or Faculty Member) with a strong background in structural engineering and software development. This high-level postdoctoral opportunity focuses on leading the expansion of the Nonstructural Element Database (NED), a project aimed at refactoring and expanding the FEMA P-58 standard for seismic risk assessment. The successful candidate will design scalable database architecture to integrate consequence models, direct both back-end (Python/Django) and front-end development, and advance performance-based hazard assessments by linking fragility data to real-world outcomes. The role involves close collaboration with NIST researchers and external contractors to deploy this industry-standard tool. Key research areas include structural engineering, database architecture, software development, seismic risk, probabilistic risk assessment, and uncertainty quantification. Applicants must hold a Ph.D. in Civil or Structural Engineering, have at least 7 years of software development experience (Python, SQL, Django, Git), and possess deep familiarity with the FEMA P-58 framework. U.S. citizenship is preferred. This position offers the opportunity to work at the intersection of engineering and software, contributing to a major national initiative in seismic risk and resilience. Interested candidates should apply via the provided link and ensure they meet all qualifications before submitting their application.

The George Washington University, in collaboration with the NIST Life Cycle Engineering Group, is seeking a highly motivated Postdoctoral Fellow for the NIST Professional Research Experience (PREP) program. This position focuses on advancing research in closing material loops to strengthen U.S. semiconductor supply chains. The successful candidate will work on developing high-fidelity simulation models to quantify material stocks and flows in the chip manufacturing sector, applying principles of Circular Economy and Operations Research to maximize the value of U.S. microelectronics, and creating advanced forecasting methods to validate pathways for reclaiming semiconductor materials. The role also involves designing decision support tools to improve supply chain resiliency and recovery outcomes. Applicants should hold a Ph.D. (or M.S. with research experience) in Operations Research, Industrial Engineering, Micro/Nano Engineering, or Supply Chain Management. Essential skills include simulation modeling, data analysis (Python/MATLAB), and stochastic modeling. Knowledge of micro/nano fabrication processes is highly desired. U.S. citizenship is required for this position. This is a funded postdoctoral fellowship through the NIST PREP program, though specific stipend and funding details are not provided. The position offers a unique opportunity to contribute to the sustainability and resiliency of the U.S. semiconductor supply chain, working with leading experts in the field. Interested candidates should apply via the provided application link and ensure they meet all eligibility requirements. For more information, applicants may contact Professor David Broniatowski at George Washington University.

The George Washington University, in collaboration with the NIST Infrastructure Materials Group, is seeking a highly motivated Research Associate to join the NIST Professional Research Experience (PREP) program. This position is part of the Advanced Metrology for Novel Infrastructure Materials initiative, focusing on the development and standardization of low-carbon binders such as Type IL and Calcium Sulfoaluminate cements. The role bridges fundamental geochemistry and applied standardization, addressing the evolving needs of the construction industry as traditional building codes become outdated. Key research areas include pore solution characterization, standardizing XRF techniques to connect microstructural development with macro-scale transport, durability modeling using thermodynamic tools like GEMS and PHREEQC, and uncertainty quantification through Bayesian inference for service-life predictions. The impact of this research will be realized through actionable proposals for ASTM and ACI committees, contributing to the next generation of sustainable infrastructure standards. Applicants should have a Ph.D. in Chemistry, Civil Engineering, or Materials Science, with a strong background in pore solution chemistry and transport properties. Experience with analytical techniques such as XRF, XRD, TGA, and isothermal calorimetry is essential. U.S. citizenship is preferred. The position is based in Washington, DC, United States, and offers the opportunity to work at the intersection of research and industry standards. Interested candidates should apply via the provided application link and ensure they meet all qualifications. For more information, contact Professor David Broniatowski at George Washington University.

The George Washington University, in collaboration with the NIST Professional Research Experience (PREP) program, is seeking a Postdoctoral Fellow to join the NIST CHIPS Metrology program. This position focuses on developing novel nanodevices and measurement technologies for low-power, high-reliability AI hardware, with a particular emphasis on In-Memory Computing and Magnetic Tunnel Junctions (MTJs). The research aims to advance temporal computing hardware for artificial intelligence by creating highly accurate characterization routines for next-generation AI accelerators. Key research areas include statistical characterization of spintronic devices under various bias conditions, system measurement of novel devices integrated on custom CMOS chips, and RF engineering involving the development of microwave circuits for on-wafer high-frequency probing. The ideal candidate will have a Ph.D. in Electrical Engineering, Physics, or a related field, a strong publication record in spintronics, and technical skills in static and dynamic magneto-resistive RF measurements (including FMR). Proficiency in Python, LabVIEW, and Mathematica is also required. This opportunity is ideal for researchers interested in spintronics, AI hardware, and advanced measurement technologies. The position is based in Washington, DC, United States, and offers the chance to work in a cutting-edge research environment at George Washington University. While specific funding details are not provided, the role is part of the NIST PREP program, which typically includes a stipend. Interested candidates should apply via the provided application link and ensure they meet all qualifications.

The George Washington University, in collaboration with the NIST Fundamental Thermodynamics Group, is seeking a highly motivated Research Associate for the NIST Professional Research Experience (PREP) program. This position offers the opportunity to engage in advanced metrological research aimed at establishing a new, higher-accuracy pressure scale using pneumatic piston gauges. Key research areas include characterizing piston gauges to minimize uncertainty in effective area, calibrating pressure transducers and gauges across a wide pressure range, and performing data and uncertainty analysis for high-precision measurements. The ideal candidate will have a Ph.D. (preferred), or a Bachelor's or Master's degree in Physics or a related STEM field, with experience in pressure, vacuum, dimensional, and/or temperature metrology. Proficiency in Python programming for data analysis is required. U.S. citizenship is strongly preferred. This role is ideal for those passionate about advancing measurement science and reducing uncertainty in pressure standards. For more information and to apply, visit the provided application link.

The George Washington University, in collaboration with the NIST Professional Research Experience (PREP) program, is seeking a Postdoctoral Fellow / AI Researcher to work at the intersection of Artificial Intelligence and Synthetic Biology. This unique opportunity is ideal for candidates with a background in Computer Science, Bioinformatics, or related fields who are passionate about applying modern DevOps and Machine Learning techniques to biological engineering challenges. The successful candidate will focus on developing AI/ML pipelines to support predictive engineering of biological systems, particularly proteins. Responsibilities include creating analysis pipelines for sequence-to-function protein engineering, automating wet-lab procedures and data collection, managing DevOps and CI/CD pipelines for analysis software, and serving as a subject matter expert on AI in synthetic biology for NIST stakeholders. The research aims to address critical bottlenecks in biosecurity screening and lab automation, contributing to the advancement of safe and predictable biological engineering. Applicants should possess a Master’s or Ph.D. in Computer Science, Engineering, or a related field, with at least two years of relevant experience. Essential skills include strong scripting abilities, familiarity with DevOps, and experience with real-time event data analysis. Interest or experience in engineering biology, biosecurity, or protein design is highly valued. Candidates must be eligible for a Department of Commerce background check for facility access. This position offers the chance to work in a cutting-edge research environment at the interface of AI, synthetic biology, and biosecurity. While specific funding details are not provided, the PREP program typically offers paid fellowships. Interested applicants should apply via the provided link and ensure they meet all eligibility requirements.

The George Washington University, in collaboration with the NIST Professional Research Experience (PREP) program, is seeking a Postdoctoral Fellow / Research Associate to join the Energy and Environment Division. This technical role focuses on developing a Standard Reference Material for the thermal insulation industry, specifically targeting the challenges associated with commercial Phase Change Materials (PCMs) used in energy-efficient buildings. The project addresses the limitations of current measurement techniques, which often fail to account for the non-linear thermal behavior caused by encapsulation, leading to inaccurate energy-saving calculations. The successful candidate will employ computational methods to analyze PCM melting and solidification, laying the foundation for a new measurement service that validates specific heat capacity and thermal conductivity values. Key research areas include simulation of thermal distributions on both empty and PCM-filled encapsulation panels, analysis of thermal conductivity and heat capacity using advanced computational methods, and the use of Finite Element Analysis software, with a preference for COMSOL. Applicants should hold a Master's or Ph.D. in Computer Science, Engineering, Manufacturing, or a related field, and possess experience with thermal simulations and finite element software. The ability to develop analytical models for data analysis is essential. U.S. citizenship is preferred. This position offers the opportunity to contribute to the advancement of building energy standards and work within a collaborative research environment at a leading U.S. institution. Interested candidates should apply via the provided application link and ensure their qualifications align with the requirements. The position is based in Washington, D.C., United States, under the supervision of Professor David Broniatowski.

The George Washington University, in collaboration with the NIST Complex Microbial Systems Group, is seeking a Senior Research Fellow to join the NIST Professional Research Experience (PREP) program. This postdoctoral-level opportunity is ideal for an expert in virology or microbiology who is passionate about advancing biosurveillance and microbiome research. The successful candidate will play a pivotal role in developing viral reference materials and measurement tools, directly supporting the pathogen detection community and ensuring accurate, comparable results across laboratories. Key responsibilities include performing viral and eukaryotic cell culture, maintaining a diverse viral library (up to BSL-2), optimizing plaque assays, measuring cytopathic effects (CPE), and developing infectivity assays for non-cytopathic viruses. The role also involves collaboration with stakeholders in the microbiome and biosurveillance sectors, contributing to innovation in viral measurement standards. Applicants must hold a Ph.D. in Virology, Molecular Biology, or Microbiology, with over five years of relevant laboratory experience. Deep expertise in viral infectivity assays and experience with non-cytopathic viruses are essential. Candidates must also be eligible for a Department of Commerce background check for facility access. This position offers the opportunity to work at the intersection of virology, microbiology, and biosurveillance, contributing to the development of standards that impact public health and scientific research. For more information and to apply, visit the provided application link.

The George Washington University, in collaboration with the NIST Cellular Engineering Group and the Engineering Biology Program, is seeking a Research Scientist / Postdoctoral Fellow for the NIST Professional Research Experience (PREP) program. This position focuses on synthetic biology, advanced laboratory automation, and the development of measurement assurance for cell-free expression systems, including both reconstituted and microbial systems. The successful candidate will work with the NIST Living Measurement Systems Foundry (LMSF) to automate reagent preparation and reaction assembly, contributing to the standardization of cell-free reaction assembly and the creation of characterization assays for diverse cell-free samples. Key research areas include assay development, high-throughput laboratory automation, metrology with uncertainty analysis, statistical evaluation of experimental and simulation data, and RNA circuit design and testing. The role is ideal for experienced researchers with a strong background in lysate-based cell-free systems, microbial culture, and molecular biology. Applicants should have a Ph.D. in Chemical Engineering, Bioengineering, Synthetic Biology, or a related field, and at least 5 years of relevant experience. U.S. citizenship is preferred. The position is part of the NIST PREP program, which typically provides salary support for postdoctoral fellows, though specific funding details are not provided in the announcement. To apply, candidates should use the provided application link and ensure they meet all qualifications. This is an excellent opportunity to join a leading research group at the intersection of synthetic biology and automation, contributing to the advancement of measurement standards in the field.

The George Washington University, in collaboration with the NIST Professional Research Experience (PREP) program, is seeking a Research Associate at the Master’s or PhD level to advance the field of Digital Content Integrity. This opportunity is ideal for candidates passionate about the intersection of media processing, security standards, and digital watermarking technologies. The research will focus on evaluating the robustness of digital watermarks in various media formats, including image, video, and audio, and developing frameworks for benchmarking their effectiveness against attacks such as compression, cropping, and noise. Key responsibilities include conducting comprehensive literature surveys on state-of-the-art watermarking, designing and implementing transformation pipelines to test watermark resilience, drafting evaluation roadmaps for future benchmarking at NIST, and prototyping detection scenarios using Python or MATLAB. The position is best suited for individuals with a background in Computer Science, Electrical Engineering, or related fields, and a strong interest in Digital Media Security, Cryptography, or Multimedia Forensics. Applicants must be at the postgraduate level (Master’s or PhD, current or completed) and possess technical skills in Python, MATLAB, or image/audio processing tools. Eligibility for a Department of Commerce background check is required for facility access. The position offers a unique opportunity to contribute to the future of digital content verification and security standards in a collaborative academic and federal research environment. For more information and to apply, visit the provided application link.

The George Washington University, in collaboration with the NIST Professional Research Experience (PREP) program, is seeking a Postdoctoral Fellow in Computational Materials Science. This position is part of the CHIPS for America initiative and focuses on advancing next-generation microelectronics packaging. The successful candidate will perform finite element analysis (FEA) to model and understand the thermo-mechanical behavior of materials at the nano- and micro-scale, directly supporting experimental work involving Atomic Force Microscopy (AFM) and Nanoindentation. Key responsibilities include developing and refining theoretical models, simulating material behavior under thermal loads, and automating simulation workflows using Python scripting. The role also involves validating models with real-world data from AFM and instrumented indentation, with the goal of improving reliability in BEOL (Back End of Line) layers and interconnects in microelectronics. Applicants should have a Ph.D. in Materials Science or a related field, with advanced expertise in Finite Element Methods (FEM), multiscale modeling, and nano/microscale contact mechanics. Experience with AFM and nanoindentation is required, and hands-on experimental skills are a plus. Candidates must be eligible for a Department of Commerce background check to access NIST facilities. This is a paid postdoctoral fellowship, though specific funding details are not provided. The position offers the opportunity to work at the intersection of computational modeling and experimental validation, contributing to the reliability and advancement of microelectronics packaging technologies. Interested candidates should apply via the provided application link and ensure they meet all eligibility requirements.

The George Washington University, in collaboration with the NIST Nanoscale Processes and Measurements Group, is seeking a Postdoctoral Fellow through the NIST Professional Research Experience (PREP) program. This opportunity is ideal for an Experimental Condensed Matter Physicist with a strong background in building and operating advanced scientific instrumentation, particularly Scanning Probe Microscopes (STM/AFM) designed for ultra-low temperature (10 mK) and high magnetic field (15 T) environments. The successful candidate will join a team focused on developing novel instrumentation for cutting-edge nanoscale measurement and materials research. Responsibilities include designing piezo-electric motors, scanners, and cryo-preamplifiers for mK operation, constructing UHV chambers and transfer systems, wiring and operating dilution refrigerators, and fabricating 2D materials and superconductors using Molecular Beam Epitaxy (MBE). The role also involves programming instrument control systems using LabVIEW (Nanonis) and Python, as well as proficiency in 3D CAD (Creo Elements) and scientific illustration. Applicants must have a Ph.D. in Experimental Condensed Matter Physics and at least five years of deep instrumentation experience, including building STM/AFM heads, FIM tip preparation, and qPlus sensor assembly. Expertise in ultra-low temperature, UHV, and high magnetic field environments is essential. Candidates must be eligible for a Department of Commerce background check for facility access. This postdoctoral fellowship offers the chance to work at the intersection of physics, materials science, and advanced instrumentation, contributing to the development of state-of-the-art research tools for nanoscale science. The position is based at The George Washington University in Washington, DC, with close collaboration with NIST. To apply, candidates should use the provided application link and ensure their qualifications align with the requirements. For further information, contact Professor David Broniatowski via LinkedIn.

The George Washington University, in collaboration with the NIST Quantum Nanophotonics Group, is seeking a Postdoctoral Fellow for the NIST Professional Research Experience (PREP) program. This unique opportunity is focused on experimental physics, specifically bridging the gap between static and flying qubits through Quantum Transduction. The research involves working with hybrid systems that combine Semiconductor Quantum Dots (QDs) and Acoustic Resonators, aiming to generate remote entanglement between superconducting qubits. The successful candidate will be responsible for the full experimental pipeline, including epitaxial growth of InAs/GaAs quantum dots using Molecular Beam Epitaxy (MBE), constructing GHz frequency acoustic resonators in a cleanroom environment, and performing precision Resonance Fluorescence spectroscopy at cryogenic temperatures. Additional responsibilities include maintaining and operating a Dilution Refrigerator and conducting finite-element simulations of electromechanical devices. Proficiency in MATLAB or Python and statistical optics is required. Applicants must have a Ph.D. in Physics, with demonstrated expertise in both MBE growth of compound semiconductors and Quantum Optical Spectroscopy. Experience with finite-element simulation and eligibility for a Department of Commerce background check are also required. The position is fully funded as part of the NIST PREP program, though specific stipend and funding details are not provided in the announcement. This postdoctoral role offers the opportunity to work at the intersection of quantum nanophotonics, materials science, and experimental physics, contributing to cutting-edge research in quantum information science. Interested candidates should apply via the provided application link and ensure they meet all eligibility requirements.

The George Washington University, in collaboration with the NIST Professional Research Experience (PREP) program, is seeking a Postdoctoral Fellow specializing in Experimental Condensed Matter Physics. This advanced research opportunity is ideal for candidates with a strong background in nanofabrication and ultra-low temperature physics, particularly those experienced in designing and fabricating van der Waals heterostructures such as rhombohedral and twisted graphene. The successful candidate will utilize Scanning Probe Microscopy (SPM) techniques, including STM and AFM, in ultra-high vacuum (UHV) environments to investigate 2D materials and superlattices. Key responsibilities include the fabrication of superlattices in 2D materials using E-beam lithography, stacking graphene/hBN heterostructures, conducting electrical transport and RF measurements at ultra-low temperatures, and developing LabVIEW VIs for Nanonis SPM control systems. The role also involves maintaining and operating dilution refrigerators and handling complex oxide interfaces (LAO/STO). Candidates should have expertise in ULV-EBL, c-AFM, and superconducting Josephson junctions. Applicants must possess a Ph.D. in Experimental Condensed Matter Physics, with at least 5 years of experience in cleanroom nanofabrication and dilution refrigerator operation, and 3 years in 2D quantum materials and ferroelectric patterning. Eligibility for a Department of Commerce background check is required for facility access. The position is funded through the NIST PREP program, though specific stipend details are not provided. This is an excellent opportunity for researchers aiming to work at the intersection of material science, quantum materials, and advanced microscopy in a leading academic and research environment. To apply, candidates should use the provided application link and ensure they meet all listed qualifications. For more information, refer to the LinkedIn profile of Professor David Broniatowski or the official George Washington University channels.

George Washington University and NIST are recruiting a Post-Doctoral Fellow for the project “Mapping of Thermal Properties and Composition with High Throughput” in Gaithersburg, Maryland. This opportunity sits within the CHIPS Metrology Program and focuses on solving thermal bottlenecks in advanced semiconductor packaging and heterogeneous integration. The project centers on photothermal metrology , nanoscale heat transfer , thermal modeling , and materials characterization . The selected researcher will help advance a new high-throughput photothermal microscope (~5 μs/pixel, 5 GHz bandwidth) to extract thermal conductivity, interfacial thermal conductance, and related properties from large time-domain datasets. The work also involves mapping chemical composition and thermal properties of materials and interfaces relevant to microelectronics R&D. Responsibilities include operating the NIST photothermal microscope, developing analytical models for property extraction and uncertainty quantification, processing and fitting very large datasets (>500 GB), and designing sample geometries for high-precision thermal measurements. The role is highly research-intensive and combines experimental metrology, modeling, and data analysis. Eligibility requirements explicitly mention a Ph.D. in Physics, Engineering, Materials Science, or Computational Mechanics. The post also asks for substantial experience in thermal/photothermal metrology, thermal modeling, time-domain trace fitting, and large-scale or multivariate data analysis. This is a postdoctoral opening ; the post does not specify salary, stipend, or deadline. Interested applicants should use the provided application link and follow the instructions in the posting.

Post-Doctoral Fellow in Smoke Characterization for Advanced Fire Detection and Environmental Measurements at the George Washington University and NIST in Gaithersburg, Maryland. This postdoctoral opportunity sits at the intersection of physics , mechanical engineering , and environmental science . The project focuses on solving the “nuisance alarm” problem by characterizing the light-scattering properties of smoke from residential and wildland-urban interface (WUI) fires. The research aims to improve the next generation of residential smoke alarms and low-cost particulate matter sensors used for wildfire air-quality monitoring. Research activities include optical and laser diagnostics, aerosol and smoke experiments across multiple wavelengths and angles, computational modeling of Mie scattering, heat transfer, and fluid flows, and advanced data analysis to reduce sensor bias. The role also involves archiving results in journals and presenting findings to stakeholders in fire safety and environmental protection. Eligibility highlights: a Ph.D. in an engineering or science field (examples given include Fire Protection, Mechanical Engineering, and Physics), experience with laser/optical diagnostics in fluids or aerosol science, and familiarity with Python or MATLAB. Strong research planning and scientific communication skills are also expected. Location: NIST Campus, Gaithersburg, MD, United States. Application: use the provided link to access the application page and submit materials. No deadline was stated in the post.

The George Washington University, in collaboration with the Materials Measurement Laboratory at NIST, is seeking a Postdoctoral Researcher for the NIST Professional Research Experience Program (PREP). This position is part of the CHIPS initiative and focuses on leveraging artificial intelligence (AI) and machine learning (ML) to predict the infrared and mass spectra of PFAS compounds, which are critical for semiconductor etching processes. The successful candidate will develop training data libraries through database mining and quantum chemistry simulations, create and validate high-fidelity AI/ML models to match experimentally measured spectra, and collaborate with a multidisciplinary team of computational and experimental researchers. The research aims to discover new molecules for advanced semiconductor manufacturing. Applicants should have a Ph.D. in Chemistry, Physics, or a closely related field, with proven experience in quantum scattering calculations. Strong programming skills in Python or C/C++ and expertise in AI/ML software frameworks are required. Candidates must be eligible for a U.S. Department of Commerce background check. The position offers the opportunity to work at the intersection of computational chemistry, data science, and materials science, contributing to cutting-edge research in semiconductor technology. To apply, visit the provided application link and submit your materials as instructed. For more information about the supervisor, see David Broniatowski's LinkedIn .

George Washington University, in collaboration with the Materials Measurement Laboratory at NIST, is seeking a Postdoctoral Researcher for a project focused on applying artificial intelligence (AI) and machine learning (ML) to predict the infrared and mass spectra of PFAS compounds. This opportunity is part of the NIST Professional Research Experience Program (PREP) and supports a critical CHIPS initiative aimed at discovering new molecules for semiconductor etching processes. The successful candidate will develop training data libraries through database mining and quantum chemistry simulations, create and validate high-fidelity AI/ML models to match experimentally measured spectra, and collaborate with a multidisciplinary team across computational and experimental disciplines. The research is highly interdisciplinary, combining chemistry, physics, materials science, and computer science, with a strong emphasis on data analysis and scientific publication. Applicants must have a Ph.D. in Chemistry, Physics, or a closely related field, with demonstrated experience in quantum scattering calculations. Strong programming skills in Python or C/C++ and familiarity with modern AI/ML software frameworks are essential. A solid track record of scientific publication and data analysis is expected. Eligibility to obtain a U.S. Department of Commerce background check is required. This position offers the chance to work at the intersection of advanced computational methods and experimental science, contributing to the development of new materials for the semiconductor industry. For more information and to apply, visit the provided application link.

The George Washington University, in collaboration with the Materials Measurement Laboratory at NIST, is offering a postdoctoral fellowship through the NIST Professional Research Experience Program (PREP). This opportunity is focused on advancing research in materials science, with a particular emphasis on rheology, thermal analysis, and the structure–property relationships of complex polymeric and composite materials. The successful candidate will play a leading role in metrology development as part of the CHIPS initiative, translating advanced measurements into industry-relevant metrics and standards for the semiconductor and materials sectors. Key research areas include the design and execution of rheological characterization for complex fluids and soft solids, leadership in thermal and thermomechanical characterization, and the modeling of reactive and curing systems. The position also involves building structure–property insights through multimodal characterization techniques. Applicants should have a Ph.D. in Polymer Science, Materials Science, Chemical Engineering, or a related field, with deep expertise in rheology (including orthogonal superposition and LAOS) and thermal analysis (DSC, DMA, TGA, TMA, CTE). Experience in cure kinetics, chemorheology, polymer physics, and additive manufacturing (extrusion-based and vat photopolymerization) is highly desirable. Proficiency in quantitative data processing using MATLAB, Python, Origin, or JMP is expected. The fellowship is based on-site in Gaithersburg, MD, and requires eligibility for a U.S. Department of Commerce background check. The position is fully funded as part of the NIST PREP program, though specific stipend and funding details are not disclosed in the announcement. This is an excellent opportunity for driven researchers to lead projects and contribute to the advancement of semiconductor and materials metrology in a collaborative academic and federal research environment. Interested candidates are encouraged to apply via the provided application link. For more information about the supervisor, Professor David Broniatowski, visit his LinkedIn profile.

The George Washington University, in collaboration with the National Institute of Standards and Technology (NIST), is seeking a Postdoctoral Fellow or Research Scientist to join the NIST Professional Research Experience Program (PREP). This opportunity is focused on the development of advanced measurement methodologies for detecting and identifying extremely low concentrations of contaminants in liquid environments, with a particular emphasis on optical trapping and sensing of nanoparticles. The successful candidate will work on fabricating optical cavities in a cleanroom or nanofabrication facility, simulating and optimizing micro/nano-cavities for the optical trapping of sub-20 nm impurity particles, and performing single-particle detection and spectroscopy using custom-adapted microfluidic and optical microscope setups. The role also involves utilizing advanced microscopy techniques, including scanning electron microscopy (SEM) and cryogenic-stage optical microscopy (OM). Applicants should possess a Ph.D. in Materials Science, Electrical Engineering, or a closely related field. Essential skills include expertise in micro-fabrication, optical/microfluidics, and optical nanoparticle trapping, as well as strong electro-optical modeling abilities. Proficiency in MATLAB, Python, Optiwave (FDTD), COMSOL, Proteus, Lumerical, and LaTeX is required. Candidates must be eligible to obtain a U.S. Department of Commerce background check. This position offers the chance to contribute to pioneering research in semiconductor metrology and sensor design, working alongside leading experts at George Washington University and NIST. The research is highly interdisciplinary, spanning materials science, electrical engineering, and advanced optical techniques. Funding is provided through the NIST PREP program, though specific stipend and benefits details are not disclosed in the announcement. Interested candidates are encouraged to apply via the provided application link. This is an excellent opportunity for driven researchers aiming to advance their careers in nanoparticle sensing, microfabrication, and semiconductor research.

The George Washington University, in collaboration with the National Institute of Standards and Technology (NIST), is offering a postdoctoral fellowship through the Professional Research Experience Program (PREP). This opportunity is ideal for candidates with a strong background in statistics and machine learning who are eager to apply their expertise to real-world scientific challenges. The successful candidate will work closely with NIST scientists and engineers to develop advanced metrology solutions. Research projects will span diverse fields such as nanotechnology, forensics, and materials science, with a focus on visualization, estimation, uncertainty quantification, and predictive algorithms. Key responsibilities include developing statistical and machine learning models, performing image processing, and utilizing high-performance computing to analyze large datasets. The role also involves communicating complex statistical concepts to interdisciplinary teams. Applicants must possess a Ph.D. in Statistics or a related field and demonstrate proficiency in R and Python for statistical computing and machine learning. Strong communication skills are essential, and candidates must be eligible to obtain a U.S. Department of Commerce background check. This position offers a unique chance to contribute to high-impact projects, such as measuring nanoparticles (including nanoplastics and nanomedicines) with high throughput. Funding is provided through the GWU/NIST PREP program, though specific details regarding stipend and benefits are not disclosed in the announcement. Interested candidates should apply via the provided application link and ensure they meet all eligibility requirements. For more information, applicants may contact Professor David Broniatowski at George Washington University.

The George Washington University, in collaboration with NIST through the Professional Research Experience Program (PREP), is seeking a Research Associate to contribute to cutting-edge research in AI risk assessment and large language model (LLM) annotation. This position is ideal for candidates passionate about trustworthy AI, data quality, and the evaluation of AI systems. The project centers on the reliability of human versus LLM annotations for AI risk assessment, with a focus on designing inter-annotator agreement studies and developing frameworks for measuring data quality in AI risk research. As a Research Associate, you will assess indicators of AI-related risks, design studies to compare the reliability of human and LLM annotations, and contribute to official NIST reports on AI evaluation. The role involves close collaboration with the NIST team and cross-functional stakeholders in AI safety. Applicants should have a Bachelor’s or Graduate Degree in Computer Science, Data Science, or a related field, and demonstrate a strong interest in data annotation and AI risks. Familiarity with scientific reading and technical writing is required, and candidates must be eligible to obtain a U.S. Department of Commerce background check. This opportunity offers the chance to work at the intersection of AI safety, data science, and public policy, contributing to the development of trustworthy AI systems. The position is based at George Washington University, with collaboration with NIST, and is part of a professional research program. While specific funding details are not provided, the role is a paid research associate position. Interested candidates should apply via the provided application link and ensure they meet all eligibility requirements.

The George Washington University, in collaboration with the NIST Professional Research Experience Program (PREP), is seeking an Artificial Intelligence Data Researcher to join the Public Safety Communications Research team at the NIST campus in Gaithersburg, MD. This unique opportunity is designed for Bachelor's-level researchers who are passionate about leveraging data science and AI for public safety applications. As a Data Researcher, you will be responsible for building the data foundation that powers public safety AI. Your work will involve researching, evaluating, and documenting datasets and AI tools essential for developing reliable communications solutions for first responders. Key responsibilities include documenting AI dataset curation processes, identifying enhancement options for public safety, researching modern AI tools (such as AWS, GCP, BigQuery, and Snowflake), investigating AI standards, and participating in national working groups. You will also assist in hosting a Public Safety AI Workshop and help develop a roadmap for AI enhancement in public safety. Applicants should have a Bachelor's degree in Computer Science, AI, Data Science, or a related field. Essential skills include expertise in data structures, formats, and curation processes; familiarity with supervised and unsupervised learning, deep learning, and model evaluation; understanding of dataset biases and labeling issues; and experience with SQL, MLFlow, and cloud platforms (Azure, GCP, AWS). Candidates must be eligible for a Department of Commerce background check. This position offers the chance to participate in national standards meetings and contribute to shaping the future of public safety AI. While the role is paid through the NIST PREP program, specific funding details are not provided. The position is based in Gaithersburg, MD, and is ideal for those interested in AI ethics, data curation, and the intersection of technology and public safety. To apply, visit the provided application link and ensure you meet all eligibility requirements. Prepare your application materials and follow the instructions on the official application page. For more information, refer to the supervisor's LinkedIn profile or the official announcement.

The George Washington University, in collaboration with the NIST Professional Research Experience Program (PREP), is seeking a Research Software Engineer to join the Public Safety Communications Research (PSCR) Division. This unique opportunity is ideal for recent graduates in Computer Science, Artificial Intelligence, Data Science, or related fields who are passionate about developing technology that directly impacts public safety and first responders. The successful candidate will work on the development of real-world test methodologies for Uncrewed Aircraft Systems (UAS), focusing on building simulators and data pipelines that support first responder communication protocols. Key responsibilities include building and retrofitting software for drone communication simulator platforms, integrating physical radio hardware with virtual simulation environments, developing open-source code, curating public safety datasets, researching mesh networking, and bridging the gap between simulations and live UAS flight tests. Applicants should have a strong background in programming (Python, C/C++, or JavaScript), and experience or interest in UAS technologies such as PX4, ArduPilot, AirSim, or MAVLink. Familiarity with modern AI tools (AWS, SQL, MLFlow) and basic machine learning concepts is expected. Additional knowledge of network routing or radio signaling is considered a bonus. The position is based at the NIST Campus in Gaithersburg, MD, and requires eligibility for a Department of Commerce background check. This role offers a hands-on entry point into federal R&D, providing exposure to cutting-edge autonomous systems and public safety technology. The position is funded through the NIST PREP program, though specific salary or stipend details are not disclosed. Interested candidates should apply via the provided application link and ensure they meet all eligibility requirements.

The George Washington University, in partnership with the National Institute of Standards and Technology (NIST) through the Professional Research Experience Program (PREP), is seeking a Research Associate to join the Public Safety Communications Research (PSCR) Division in Gaithersburg, MD. This opportunity is ideal for Master’s graduates in Robotics, Computer Science, Artificial Intelligence, or Data Science who are passionate about applying their coding and simulation skills to real-world, life-saving technology for first responders. The successful candidate will work on evaluating and developing communications protocols for Uncrewed Aircraft Systems (UAS), focusing on creating simulators and datasets to ensure reliable mesh networking and long-range communications for drones during emergency response missions. Key responsibilities include developing software for drone communications simulator platforms, integrating radio hardware with virtual simulation environments, developing open-source code, curating public safety datasets, evaluating AI/ML models for drone flight and signal optimization, and comparing simulation data with live UAS flight tests in collaboration with public safety working groups. Applicants must hold a Master’s degree in a relevant field and demonstrate proficiency in Python, C/C++, and tools such as PX4, ArduPilot, or MAVLink. Experience with network routing, radio signaling, and modern machine learning tools (AWS, MLFlow, BigQuery) is required, as is familiarity with simulation applications like AirSim. The position is based at the NIST campus in Gaithersburg, MD, and requires eligibility for a Department of Commerce background check. This is a high-impact, paid research role where your contributions will directly support the development of methodologies used by first responders nationwide. The position is funded through the NIST PREP program, though specific salary or stipend details are not provided. Interested candidates should apply via the provided application link and ensure they meet all eligibility and technical requirements.

The George Washington University, in collaboration with the NIST Professional Research Experience Program (PREP), is offering a postdoctoral fellowship focused on shaping the future of 5G and 6G wireless communication standards. This unique opportunity is part of the CHIPS Act initiatives and is based at the NIST campus in Gaithersburg, Maryland. The successful candidate will join a critical project on on-wafer complex permittivity measurements, contributing to the development of traceable standards for next-generation telecommunications. Key research areas include mmWave metrology, integrated circuit and material performance validation, and the creation of benchmarks essential for global telecommunications. The role involves designing, simulating, and assembling on-wafer electronics for mmWave testing, utilizing resonator methods for advanced material characterization, and performing finite element simulations using ANSYS or COMSOL. The fellow will also engage with industry stakeholders to align research with market needs and coordinate with NIST researchers to advance on-wafer metrology. Applicants should possess a Ph.D. in Materials Science, Engineering, or a related field, with at least two years of hands-on microelectronic fabrication experience. Proficiency in simulation tools such as ANSYS or COMSOL and strong programming skills in MATLAB and Python are required. Eligibility for a Department of Commerce background check is mandatory. This fellowship offers the chance to work at the forefront of the mmWave industry, directly impacting the standards and technologies that will drive future chip development. While specific funding details are not provided, the position is supported through the NIST PREP program at George Washington University. Interested candidates should apply via the provided application link and ensure they meet all eligibility requirements.

The George Washington University, in partnership with the National Institute of Standards and Technology (NIST) through the Professional Research Experience Program (PREP), is seeking a Research Associate for the Applied Economics Office (AEO) in Gaithersburg, MD. This opportunity is ideal for Master’s graduates in Economics, Social Science, Psychology, Policy, or related fields who are eager to apply their analytical skills to real-world infrastructure and resilience challenges. As a Research Associate, you will join a multidisciplinary team of social scientists, engineers, and researchers to provide economic products and services that support productivity, economic growth, and international competitiveness. Your work will directly inform decision-making in areas such as energy conservation, community resilience planning, and smart grid technology. Key responsibilities include analyzing complex data sets, conducting comprehensive literature reviews, assisting in the design of data collection instruments, co-authoring reports and research articles, presenting findings at professional conferences, and supporting decision-science tools related to building infrastructure and the circular economy. Applicants must hold a Master’s degree in a relevant field and possess a strong background in econometrics or statistics. Experience in at least two of the following areas is preferred: Applied Microeconomics, Behavioral Science, Environmental Economics, Risk & Uncertainty, or Regional Planning. Candidates should demonstrate logical thinking, attention to detail, and excellent written communication skills. Eligibility for a Department of Commerce background check is required. This position offers a unique chance to work within the NIST Engineering Laboratory, where your economic analysis will influence national standards and safety protocols. The role is based at the NIST Campus in Gaithersburg, MD. While specific funding details are not provided, the position is a paid Research Associate role under the NIST PREP program. To apply, visit the provided application link and ensure you meet all eligibility requirements. Prepare your application materials and follow the instructions on the application portal. For more information, you may refer to the LinkedIn profile of Professor David Broniatowski, who is associated with the program.

The George Washington University, in partnership with the National Institute of Standards and Technology (NIST) through the Professional Research Experience Program (PREP), is offering a postdoctoral fellowship focused on advancing semiconductor metrology. The successful candidate will join the Material Measurement Laboratory in Gaithersburg, MD, contributing to the NIST/CHIPS Nanometer-Scale Planar Reference Materials project. This research is at the forefront of characterizing the physical and chemical properties of nanometer-scale thin films on silicon (Si) and silicon carbide (SiC) wafers, supporting the development of hybrid metrology and digital wafers for the semiconductor industry. Key responsibilities include conducting research using lab-based and synchrotron X-ray characterization techniques (XRR, XRF, or XPS), developing structural models and hybrid metrology maps with open-source Python fitting methods, and managing wafer dicing, cleaning, and packaging for research-grade test materials. The fellow will also be expected to publish in high-impact journals and present at international conferences. Applicants should have a Ph.D. in Physics, Materials Science, or a related field, with a strong background in X-ray measurement techniques. Experience in Python-based data modeling and fitting is essential, and familiarity with thin-film deposition and cleanroom protocols is highly preferred. The position requires eligibility for a Department of Commerce background check for facility access. This opportunity allows the fellow to contribute to the CHIPS Act mission and collaborate with leading NIST scientists in a state-of-the-art laboratory environment. The position is based at the NIST campus in Gaithersburg, Maryland, and is funded through the NIST PREP program. For more information and to apply, visit the provided application link.

The George Washington University, in partnership with the National Institute of Standards and Technology (NIST), is offering a PREP Research Associate position focused on robotics, perception, and 3D machine vision. This opportunity is ideal for Master’s students or recent graduates in engineering who are passionate about advancing the field of robotic automation and machine vision. The successful candidate will join the Intelligent Systems Division in Gaithersburg, MD, and work at the intersection of academic research and federal standards, contributing to the development of metrics that will shape the future of manufacturing. Key responsibilities include integrating robot arms and bin-picking systems into the NIST/ISD testbed, programming collaborative robots, utilizing ROS2 for visualization and control, and researching the impact of variables such as part color, surface properties, and bin depth on system performance. The role also involves using advanced metrology systems like laser trackers and CMMs for reference measurements, designing and optimizing 3D-printed artifacts, and analyzing data with Python, MATLAB, and Spatial Analyzer. Applicants should have or be nearing completion of a Master’s degree in an engineering discipline, with strong skills in Python, Java, or C#, experience with Linux and MATLAB, and familiarity with ROS2, CAD (SolidWorks/OnShape), and 3D point cloud processing tools (PCL, CloudCompare). A solid foundation in robot kinematics, DH parameters, and 3D sensors (LiDAR/RGBD) is required. The position offers a unique chance to work on cutting-edge manufacturing research, present findings at major conferences, and collaborate with leading experts at both GWU and NIST. This is a full-time (40 hours/week) paid position based in Gaithersburg, MD. While specific funding details are not provided, the role offers significant professional development and networking opportunities in robotics and automation. Interested candidates should apply via the provided application link and ensure they meet the technical and educational requirements.

The George Washington University, in collaboration with the NIST Professional Research Experience Program (PREP), is seeking a Post-Doctoral Fellow to lead pioneering research in the development of a foundational framework for Digital Twins in the built environment. This opportunity is based at the NIST Engineering Laboratory in Gaithersburg, Maryland, and focuses on bridging the gap between virtual models and the physical performance of buildings. The research aims to create standardized frameworks to assess, evaluate, and verify Digital Twins, ensuring their reliability, interoperability, and scalability for the construction and energy sectors. Key responsibilities include developing a foundational framework and taxonomy for Digital Twins in buildings, creating metrics and methodologies to evaluate the fidelity and performance of Digital Twin models, and collaborating with NIST researchers to integrate Digital Twins with Building Automation Systems (BAS) and IoT sensors. The successful candidate will also be expected to publish original research in high-impact journals and present at major international conferences, aligning their work with emerging industry standards and public policy for community resilience. Applicants should possess a Ph.D. in Civil Engineering, Mechanical Engineering, Systems Engineering, or a related field, with deep expertise in Cyber-Physical Systems (CPS), Building Information Modeling (BIM), and Digital Twin architecture. Proficiency in data modeling, simulation, and systems verification is required, along with excellent technical writing skills and the ability to collaborate across multidisciplinary teams. Eligibility for a Department of Commerce background check is mandatory. This is a premier opportunity for postdoctoral researchers passionate about the future of smart buildings, cyber-physical systems, and digital transformation in infrastructure. The position is funded through the NIST PREP program, though specific financial details are not provided in the announcement. Interested candidates should apply via the provided link and ensure they meet all eligibility requirements.

The George Washington University, in collaboration with the NIST Professional Research Experience Program (PREP), is offering a postdoctoral fellowship focused on advancing scalable quantum computing through Quantum Information Processing (QIP) with mixed species trapped ions. The position is based at the NIST campus in Gaithersburg, Maryland, and provides an opportunity to work alongside NIST permanent staff, fellow postdocs, and graduate students in a world-class experimental physics environment. The research centers on implementing the foundational building blocks of scalable quantum information, with a strong emphasis on hands-on experimental work. Key responsibilities include upgrading existing quantum apparatus, planning and building new experimental components, implementing and evaluating complex experiments involving mixed-species trapped ions, and collaborating on the dissemination of results through high-impact journal publications and presentations at major international physics conferences. Applicants should possess a Ph.D. in Physics or a closely related field, with demonstrated experience in experimental design and execution within an Atomic Physics laboratory. Technical expertise in laser technology and nonlinear frequency conversion is essential. The ideal candidate will have a collaborative spirit and be ready to contribute to a high-intensity, multi-generational research team. Eligibility for a Department of Commerce background check is required. This postdoctoral opportunity is funded through the NIST PREP program, though specific details regarding stipend and benefits are not provided in the announcement. The position offers a unique chance to contribute to cutting-edge research in quantum information processing at one of the world's premier metrology and research institutions. To apply, candidates should follow the application link provided and ensure they meet all eligibility requirements. The research group is led by Professor David Broniatowski at The George Washington University.

The George Washington University is seeking a Senior Research Fellow to join the NIST PREP program in Gaithersburg, MD, focusing on solving the "last mile" of public safety through advanced indoor localization. This role is critical for developing next-generation tracking, navigation, and localization systems that can operate where GPS fails, such as in high-rise buildings or basements—scenarios vital for first responders and public safety. The research will leverage cutting-edge technologies including 5G, Digital Signal Processing (DSP), and advanced computer algorithms. The successful candidate will conduct basic research, develop novel tracking algorithms and systems, evaluate performance through modeling, simulation, and physical prototypes, and assess the efficacy of 5G technology for indoor localization. The position also involves publishing research findings in top-tier journals, presenting at technical conferences, and surveying the industry landscape for pedestrian navigation techniques. Applicants should have a strong foundation in Wireless Communications, DSP, and Computer Algorithms, with proficiency in C/C++, Python, and MATLAB. While a PhD in Electrical Engineering, Computer Science, or a related field is preferred, candidates with equivalent experience and skills are encouraged to apply. Experience in hardware prototyping is a significant plus, and specialized training in localization will be provided by NIST if needed. Eligibility for a Department of Commerce background check is required. This opportunity is ideal for researchers passionate about public safety, wireless systems, and algorithm development, offering the chance to make a direct impact on real-world emergency response scenarios. The position is based at the NIST campus in Gaithersburg, MD, and is supervised by Professor David Broniatowski of George Washington University. For more information and to apply, follow the provided application link or contact Professor Broniatowski via LinkedIn.

The George Washington University, in collaboration with NIST, is seeking a PREP Research Associate (Computer Scientist) to join the Information Access Division in Gaithersburg, MD. This unique opportunity is at the forefront of the NIST GenAI evaluation series, a global initiative to assess the capabilities and risks of generative AI technologies. The successful candidate will contribute to the development of frameworks for evaluating AI models across multiple modalities, including deepfake detection in audio and video, code generation, and large-scale text models. Key responsibilities include deploying systems for executing AI models on large datasets using GPU clusters, providing technical expertise in deepfake analytics, building and maintaining frontend/backend systems for AI evaluation, designing experiments, and curating datasets for high-fidelity benchmarking. Advanced data visualization using OpenGL/C++ for scientific analysis of audio and video streams is also part of the role. Applicants should possess a Master's or PhD in Computer Science, Software Engineering, or Mathematics, with strong programming skills in Python, C++, Java, or R, and expert-level Bash scripting. Experience in computer vision, array signal processing, distributed computing, ML analytics, and real-time code development is highly desirable. The position is based at the NIST campus in Gaithersburg, MD, and offers the chance to contribute to national and international GenAI benchmarks and reports. To apply, follow the provided application link and ensure your qualifications align with the requirements. This is an excellent opportunity for those passionate about trustworthy AI, machine learning, and advanced computational research.

A postdoctoral position is available at George Washington University and NIST, focusing on measuring nanoscale stress and strain in semiconductor devices using advanced HR-EBSD and TKD techniques. The successful candidate will operate state-of-the-art SEM and FIB instruments, process high-resolution electron diffraction data, and contribute to the CHIPS Act initiative to advance U.S. semiconductor manufacturing. The research involves mapping lattice strain with unprecedented precision, analyzing data with Python, C++, or Matlab, and collaborating with both internal and external stakeholders, including industry partners and NIST teams. Applicants should have a Ph.D. in Materials Science, Physics, or a related field, with expertise in SEM, EBSD, elasticity, crystalline defects, and simulation tools such as FEA. The position is based at the NIST campus in Gaithersburg, MD, and offers the opportunity to directly impact the reliability and performance of leading-node microelectronics. Funding is provided as part of a postdoctoral fellowship, though specific financial details are not disclosed. Interested candidates should apply via the provided application link and prepare relevant supporting documents. This opportunity is ideal for researchers interested in materials science, electron microscopy, semiconductor technology, and advanced data analysis.

The George Washington University, in collaboration with NIST, is seeking a Senior Research Fellow to join the Nanoscale Spectroscopy Group in Gaithersburg, MD. This postdoctoral-level position focuses on the engineering of artificial atoms for quantum sensing applications, specifically through the electrical detection and control of NV centers in diamond and other color centers such as those in GaN and SiC. The successful candidate will bridge quantum optics and semiconductor device engineering, developing photoelectric measurements and high-resolution spectral characterization to create SI-traceable quantum sensors suitable for integration into everyday technology. Key responsibilities include fabricating and testing optoelectronic devices with integrated micro-scale color centers, utilizing advanced spectroscopy techniques (stroboscopic, heterodyne, and time-resolved optical methods), performing nanoscale magnetometry, and investigating new materials for artificial atoms. The role also involves electronic device design and modeling to understand electrical defect characteristics, and collaboration with a multidisciplinary team of materials chemists and spectroscopists. The position supports the "NIST-on-a-Chip" roadmap for quantum-based sensing and offers opportunities to publish findings and present at international conferences. Applicants should have a Ph.D. in Physics, Electrical Engineering, or a related field, with deep familiarity with NV centers in diamond or silicon vacancies in SiC. Essential skills include building complex electrical measurement systems, conducting magnetic resonance measurements, and a strong record of technical talks and peer-reviewed publications. The position is based at the NIST Campus in Gaithersburg, MD. For application, use the provided link and ensure your expertise aligns with the research focus areas.

The George Washington University, in collaboration with NIST, is seeking a Software Engineer (PREP Research Associate) to join the Guardians of Forensic Evidence Initiative in Gaithersburg, MD. This project focuses on enhancing the scientific reliability of deepfake detection systems for forensic and judicial applications. As a member of the team, you will contribute to the Deepfake Challenge Kit, working on the development of automated deepfake generation pipelines, secure web platforms for global evaluation leaderboards, and robust evaluation infrastructure. Key responsibilities include building synthetic data generation pipelines for deepfake image and audio datasets, deploying AI detection algorithms on Linux servers and GPU clusters using Docker, and implementing scoring packages such as ROC curves and AUC to assess system robustness. The role also involves full-stack web development, including the design and maintenance of secure evaluation platforms with user authentication and dataset release portals. Ideal candidates are senior undergraduate or graduate students in Computer Science or Software Engineering, with strong proficiency in Python, Linux, and Shell Scripting. Experience or interest in React, PostgreSQL, and backend services (FastAPI/Flask) is advantageous. A background or keen interest in media processing, Generative AI, and AI evaluation is highly valued. The position is based at the NIST Campus in Gaithersburg, MD, and offers the opportunity to make a significant impact on the reliability of AI-based evidence in the courtroom. To apply, follow the provided application link and ensure your qualifications align with the requirements. This is an excellent opportunity for those interested in deepfake detection, AI evaluation, and forensic science to gain hands-on experience in a collaborative research environment at a leading institution.

The George Washington University, in collaboration with the National Institute of Standards and Technology (NIST), is seeking a Post-Doctoral Fellow for a cutting-edge project in the Information Technology Lab (ITL) located in Gaithersburg, MD. The position is part of the IMS project, "Distributed Manufacturing of First-In-Class NIST Traceable Active Cell Reference Materials," and aims to address the reproducibility crisis in biotechnology by standardizing AI-driven cell analysis. The successful candidate will design and train advanced Convolutional Neural Networks (CNNs) and Vision Transformers for cell segmentation, division detection, and label-free viability assessment. A key responsibility is to create reference materials that enable calibration and transfer of AI solutions across different laboratories, ensuring accuracy and reproducibility. The role involves architecture design for AI models where training data is limited, cross-lab calibration, and the development of deployable software using PyTorch for complex cell image analysis. Applicants should have a PhD in Computer Science, with at least three years of relevant experience, and demonstrate mastery in PyTorch/Python, Vision Transformers, and CNNs. Strong software development skills and a proven ability to communicate complex data to multidisciplinary audiences are essential. The position offers the opportunity to produce high-quality publications and present at leading AI and bioengineering conferences. This postdoctoral fellowship is based at the NIST campus in Gaithersburg, MD, and is ideal for candidates interested in artificial intelligence, computer vision, deep learning, bioengineering, and the development of standardized reference materials for biotechnology. For more information and to apply, follow the provided application link.

The George Washington University, in collaboration with NIST, is seeking a Post-Doctoral Protein Scientist for a high-impact research project based in Gaithersburg, MD. This opportunity is ideal for candidates passionate about high-throughput biology, synthetic biology, and the application of predictive AI modeling in the life sciences. The research focuses on bridging the sequence-to-function gap in protein science, involving large-scale metrology, automation, and the design of synthetic circuits using E. coli systems. Responsibilities include developing innovative methods for measuring protein sequence-function relationships, programming automated laboratory systems, designing complex plasmids, and characterizing protein functions and biophysical properties. The successful candidate will also be expected to disseminate research findings through peer-reviewed and open-science platforms. Applicants should possess a Ph.D. in Biology, Protein Engineering, Biological Engineering, or a related field, with expertise in molecular biology techniques, E. coli, and synthetic biology circuit design. The position supports national bio-infrastructure and offers a multidisciplinary research environment. Interested candidates should apply via the provided link and ensure they meet all qualifications.

George Washington University and NIST are seeking a Senior Research Fellow in Convective Wind Hazards in Gaithersburg, Maryland, United States. This opportunity is centered on meteorology , atmospheric science , wind hazard modeling , nonstationary modeling , climate change , and the integration of future convective wind hazards into building codes and engineering standards. The role aims to support next-generation building standards by developing methods and practices that account for changing atmospheric conditions, including downbursts and derechos. The fellow will help finalize a research roadmap and state-of-the-art assessment for incorporating future wind hazards into design codes, develop advanced models for convective winds, identify research gaps, and define how future data should inform engineering tools. The post emphasizes collaboration across atmospheric science and engineering design, with impact on infrastructure resilience and community protection. Eligibility highlights: a Ph.D. in Meteorology or a closely related atmospheric science field, at least 5 years of relevant experience in wind hazard modeling or forecasting, deep expertise in convective wind hazards and future climate conditions, a strong publication record, and the ability to work with multidisciplinary teams. Funding: the post is for a Senior Research Fellow position; no stipend, salary, or tuition information is provided. Application: use the provided application link to review the role and submit your materials. No deadline is stated in the post.

George Washington University and NIST are seeking a Senior Research Fellow (Research Engineer or Physicist) for the Solid-State Quantum Sensors Program in Gaithersburg, Maryland. The project focuses on quantum sensing , especially the development of SI-traceable magnetometers using the electrical readout of NV centers in diamond . This opportunity sits at the intersection of Physics , Electrical Engineering , and Materials Science . The successful candidate will design and fabricate optoelectronic devices, work with microwave and optical stimulation, perform electrically detected microwave resonance experiments, and help bridge fundamental quantum physics with scalable semiconductor engineering. Key work areas include device innovation, quantum readout, modeling with TCAD and Python , RF engineering, and collaboration with a multidisciplinary team. The role also includes publishing in high-impact journals, presenting at conferences, and contributing to patents. Applicants should have a Ph.D. in Electrical Engineering, Physics, or Applied Physics . Strong experience in precise electrical measurements, semiconductor device physics, device fabrication, and TCAD modeling is expected. Familiarity with wide-bandgap semiconductors such as GaN or SiC, magnetic-field sensors, or laser systems is listed as a bonus. The position is based at the NIST Campus in Gaithersburg, MD . No deadline, stipend, or tuition information is provided in the post. Interested candidates should use the application link provided in the announcement.

George Washington University and NIST are seeking a PREP Research Associate / Research Scientist in Fluid Metrology at the NIST campus in Gaithersburg, Maryland. This opportunity is centered on experimental fluid mechanics , flow measurement , instrumentation , calibration , and measurement traceability . The role involves designing and building experimental flow setups, automating experiments, maintaining LabVIEW systems, developing Python tools for control and data analysis, integrating pressure transducers, RTDs, and flow meters, and supporting CAD-based fabrication and CFD-informed experimental design. Applicants should have at least a bachelor’s degree ; a master’s degree is preferred . The post specifically mentions backgrounds in Mechanical Engineering , Aerospace Engineering , or Physics . Useful technical skills include Python, LabVIEW, MATLAB, CAD, sensor instrumentation, and familiarity with uncertainty analysis, calibration, or computational fluid dynamics. This is a research-oriented position with impact on national measurement programs and publications. No deadline, salary, or detailed funding package is stated in the post. To apply, use the provided application link and follow the instructions in the post.

George Washington University and NIST are seeking a Post-Doctoral Fellow in semiconductor reliability testing and failure analysis at the NIST campus in Gaithersburg, Maryland. This opportunity is tied to the CHIPS Act and focuses on improving the long-term reliability of advanced microelectronics and semiconductor packages under environmental stress. The research centers on how aging and property degradation occur in complex package architectures, with special attention to polymeric thin films and multilayer interfaces . The fellow will develop new methods for measuring multilayer adhesion, perform in-situ environmental digital image correlation (DIC) during thermal cycling, and use microscopy and X-ray-based techniques for advanced failure analysis. The role also includes finite element analysis (FEA) to model warpage and thermo-mechanical loading, plus data generation for reliability prediction frameworks. Applicants should hold a Ph.D. in Materials Science , Mechanical Engineering , Physics , or Chemical Engineering . A strong background in polymeric thin film adhesion and structure-property relationships is required, along with experience in mechanical characterization, thermal cycling, and advanced failure analysis. Prior experience in advanced semiconductor packaging is highly preferred. This is a research-intensive postdoctoral position with high impact for industry-wide quality assurance and material selection in microelectronics. The post does not specify stipend, salary, or deadline details. Interested candidates should apply through the provided application link.

George Washington University and NIST are seeking a PREP Research Associate for the project “SI meets AI: Neural Network-powered Digital Twin for Advancing Primary Standards” in Gaithersburg, Maryland, United States. This opportunity sits at the intersection of physics , artificial intelligence , computer science , electrical engineering , and materials science . The project focuses on building physics-informed digital twins for primary standards in mass , voltage , and resistance , with the goal of accelerating the development and commercialization of next-generation SI realizations. Responsibilities include developing and implementing AI regression models for high-impact physical measurements, using Vision Transformers and CNNs for image classification of graphene data, building software for image reconstruction and system simulation, and preparing presentation materials for NIST and industry stakeholders. Eligibility highlights: the post explicitly seeks a PhD candidate in Physics with 2+ years of relevant experience . Applicants should have strong skills in PyTorch , Python , advanced computer vision methods, and the ability to develop deployable scientific software. No deadline, stipend, or funding package is specified in the post. Interested candidates should use the provided application link to review the posting and apply.

George Washington University and NIST are seeking a Post-Doctoral Fellow in Physics-Informed Machine Learning (PIML) for semiconductor process modeling in Gaithersburg, Maryland. The project sits at the intersection of physics , chemistry , computer science , materials science , and mathematics , with a strong focus on atomic layer deposition (ALD) , multiscale modeling, and high-fidelity digital twins for chip manufacturing. The role is tied to the CHIPS Act mission to accelerate semiconductor innovation. Responsibilities include designing and training PIML models constrained by physical laws, developing multiscale simulations from the atomic level upward, implementing and evaluating algorithms, quantifying uncertainty, and building robust Python software tools. The fellow is also expected to present at international conferences and publish in high-impact journals. Eligibility highlights: a Ph.D. in Chemistry, Physics, Math, Computer Science, or Data Science; familiarity with TensorFlow or PyTorch ; experience with process modeling tools such as Cantera or CHEMKIN ; strong Python programming skills; and the ability to work with heterogeneous data and uncertainty analysis. This is a postdoctoral opening , not a scholarship. No stipend or salary amount is stated in the post. The application link is provided in the post, and no deadline is mentioned.

George Washington University and NIST are seeking a Post-Doctoral Research Associate for research on wind performance and roofing resilience in Gaithersburg, Maryland. The project is tied to the Hurricane Ian Study and focuses on understanding how asphalt shingle roof coverings fail under extreme wind hazards. The research combines civil engineering , materials science , mechanical testing , fracture mechanics , and finite element analysis . The successful candidate will investigate the effects of weathering, installation, and material properties on wind uplift resistance; develop validated FEA models using Ansys LS-DYNA and Abaqus/Explicit ; create accelerated aging methods for roofing materials; and help translate findings into standards and building code improvements through ASTM and related committees. Eligibility highlights include a Ph.D. in Civil Engineering, Material Science, Physics, or Chemistry . Preferred and required technical experience includes EIT certification (preferred), strong software skills in SolidWorks and AutoCAD , at least 5+ years with universal testing machines , and at least 1 year with FTIR spectroscopy and accelerated weathering devices . A deep understanding of ASTM D3161 and ASTM D7158 is required, and ASTM membership is also required. This is a research-intensive postdoctoral opening with direct impact on coastal infrastructure resilience, roofing standards, and U.S. building codes. The post does not mention a deadline or funding package, but it does provide an application link.

George Washington University and NIST are seeking a Senior Research Fellow for Nonstructural Element Consequence Modeling for the NIST Nonstructural Element Database (NED) in Gaithersburg, Maryland. This is an expert-level, part-time research role focused on improving how the world estimates seismic risk , repair costs , and repair time after earthquakes. The selected fellow will help expand a relational database that already contains more than 2,500 experimental data points and will work on schema design, consequence modeling, and implementation of repair-cost and repair-time estimation procedures. Research themes include civil engineering , construction sequencing , cost estimation , probabilistic risk assessment , uncertainty quantification , seismic fragility , and database architecture. The post also references replacing and expanding the traditional FEMA P-58 framework, so applicants with experience in component-level repair models for seismic damage and natural hazards engineering are especially relevant. Eligibility highlights: 15+ years of professional cost estimation and modeling experience in the construction industry; deep knowledge of FEMA P-58 and probabilistic risk assessment; documented experience developing component-level repair models for seismic damage; strong engineering background. Funding: The post describes a part-time senior research fellow role, but does not specify salary, stipend, tuition, or other financial support. How to apply: Use the linked application page to view the full posting and submit your application materials. No deadline is stated in the post. Institutional context: The opportunity is associated with George Washington University and NIST (National Institute of Standards and Technology).

George Washington University and NIST are seeking a Post-Doctoral Fellow / Researcher in Artificial Intelligence for Forensic Firearm and Toolmark Analysis in Gaithersburg, Maryland, United States. This opportunity sits at the intersection of computer science , statistics , forensic science , and physics , with a strong emphasis on AI/ML methods for objective evidence analysis in the courtroom. The project focuses on developing computational pipelines for image segmentation and comparison of toolmarks on cartridge cases, bullets, and 3D-printed materials. The work also includes explainable AI (XAI) , benchmarking against traditional forensic procedures and human examiners, and uncertainty quantification for legal testimony and standards development. Eligibility highlights include a Ph.D. or Master’s in Computer Science, Statistics, Forensic Science, or Engineering, plus proficiency in Python or MATLAB and research experience in AI/ML applied to image analysis . The post also seeks someone with interest in the ethical use of AI, including model bias and robustness. Funding details are not specified in the post, but the role is presented as a post-doctoral fellowship/research position. The location is the NIST Campus in Gaithersburg, MD , and the work is framed as contributing to scientific standards for forensic evidence in the United States. Applicants should use the provided application link to proceed. No deadline is stated in the post.