David Broniatowski

George Washington University and the National Institute of Standards and Technology (NIST) are seeking a PREP Research Associate for the Measurement Science for Automated Vehicles project in Gaithersburg, Maryland. This opportunity is centered on autonomous vehicles , measurement science , scenario engineering , simulation , and AI/ML . The role focuses on building and curating large scenario databases for behavioral testing, including lane changes, merges, and intersection navigation, and on designing standardized World State schemas that connect AV stacks with simulation environments. Key work includes generating edge-case scenario variants, defining message schemas and interface specifications, supporting cryptographic hashing for data integrity, and ensuring compatibility across modular and end-to-end autonomous driving architectures. Eligibility highlights include an MS degree or BS + 2 years of experience in Computer Science , Robotics , or AI/ML . Applicants should have strong programming skills in Python and C++ , experience with ROS 2 on Linux, and familiarity with CARLA , SUMO , TensorFlow, PyTorch, behavioral planning, data modeling, Git workflows, and database management. The post does not mention a deadline or detailed funding package. It is a research associate opening at NIST with a strong applied research and standards-development focus. To apply, use the linked application page and submit your materials through the portal.

George Washington University and the National Institute of Standards and Technology (NIST) are seeking a Post-Doctoral Fellow for research on the structural integrity of next-generation AI chips and advanced semiconductor packaging. The project focuses on modeling and mechanical testing of heterogeneous structures in the context of the CHIPS Act mission, with an emphasis on reliability and failure analysis for 3D-stacked and multilayer systems. The successful candidate will lead reliability modeling efforts using finite element analysis (FEA) and advanced mechanical testing to predict how heterogeneous multilayered systems made of polymers, metals, and silicon behave over their service lifetime. Research topics include thermomechanical modeling , nano/micro-scale testing , adhesion testing , polymer degradation , damage modeling , and investigation of failure mechanisms such as delamination and cohesive damage. Applicants should hold a Ph.D. in Mechanical Engineering, Physics, Materials Science, or a related field . Strong expertise in FEA of heterogeneous systems is required, together with hands-on experience in nano- and micro-scale mechanical testing . Familiarity with adhesion testing , polymer degradation , and damage propagation is also expected. The post notes that the candidate must currently live in the United States . This is a research-intensive postdoctoral opportunity based at the NIST Campus in Gaithersburg, Maryland , supporting the scientific basis for quality assurance in the U.S. semiconductor supply chain. Interested applicants should use the provided application link to review the posting and submit their materials.