Your Twin learns with you

30% off annual Pro20% off monthly Pro

Ends in00h00m00s

Publisher
source

Sandia Biotech, Inc

Just Landed

Postdoctoral Appointee in Generative AI and Materials Lifecycle Management Sandia National Laboratories in United States

Degree Level

Postdoc

Field of study

Computer Science

Funding

Available

Country flag

Country

United States

University

Sandia Biotech, Inc

Apply for this position

Free with an ApplyKite account: the application link, the deadline in your tracker and a check of your fit.

Keywords

Computer Science
Data Science
Chemistry
Materials Science
Density Functional Theory
Physics
Computational Materials Science
ML

Suggested positions

Publisher
source

Sandia Biotech, Inc

Country flag

United States

Sandia National Laboratories is advertising a Postdoctoral Appointee in Atomistic Modeling / Machine Learning for its Computational Materials Science Department. The role focuses on combining density functional theory (DFT) , machine learning (ML/AI) , and atomistic simulation to accelerate multiscale modeling of reactive systems and catalysis. Research activities include building a high-throughput DFT workflow to sample chemical reactions, developing ML frameworks to predict reaction events, in...

Computer Science
Chemistry
Mechanical Engineering
+7 more

1 month ago

Publisher
source

University at Buffalo

Country flag

United States

The University at Buffalo is recruiting a Postdoctoral Associate in the Department of Materials Design and Innovation , working in the Peng Research Group . This is a research-intensive opportunity at the intersection of scientific AI , atomistic simulation , computational catalysis , and data-driven materials discovery . The successful candidate will contribute to a U.S. Department of Energy Genesis Mission project focused on developing closed-loop and agentic AI workflows for chemical-manufact...

Computer Science
Chemistry
Chemical Engineering
+6 more

3 weeks ago

Publisher
source

Argonne National Laboratory

Country flag

United States

Argonne National Laboratory is advertising a Postdoctoral Appointee in Materials Informatics and Autonomous Synthesis at the Center for Nanoscale Materials (CNM) in Lemont, Illinois, USA. The role sits at the intersection of materials science , chemistry , chemical engineering , polymer science , computer science , and data-driven experimentation, with a strong emphasis on AI/ML for autonomous materials discovery . The selected postdoc will develop machine learning-ready data resources and build...

Computer Science
Data Science
Chemistry
+6 more

2 weeks ago

Publisher
source

National Renewable Energy Laboratory (NREL)

Country flag

United States

This postdoctoral research opportunity at the National Energy Technology Laboratory (NETL) is centered on predicting the long-term mechanical behavior of heat-resistant structural alloys using digital twin technologies. The project is hosted by NETL’s Albany, Oregon campus and is conducted off-site/virtually under the mentorship of Michael Gao within the Research Innovation Center (RIC) in the Power, Fuels & Chemicals area. The researcher will work on developing predictive capabilities for alloy...

Computer Science
Chemistry
Molecular Dynamics
+8 more

4 days ago

Publisher
source

Oak Ridge National Laboratory

Country flag

United States

Oak Ridge National Laboratory (ORNL) is hiring a Postdoctoral Research Associate in optical spectroscopy within the Isotope Applications Research (IAR) group . The role sits in a multidisciplinary environment focused on radioisotope production and application, with work spanning laser-induced breakdown spectroscopy , optical emission spectroscopy , plasma diagnostics , data science, process analytical technology, and chemical processing. The successful candidate will develop and operate advanced...

Computer Science
Data Science
Chemistry
+8 more

1 month ago

About this position

Sandia National Laboratories is seeking a Postdoctoral Appointee/Scientist to join its Materials Lifecycle Management Department within the Material, Physical, and Chemical Sciences Center in Albuquerque, New Mexico. The position focuses on applying computational materials science, machine learning, and generative artificial intelligence to accelerate materials discovery and characterization.

The researcher may work with electronic structure calculations, density functional theory, first-principles simulations, and physics-based or classical models to generate data and predict thermodynamic, kinetic, and electronic properties. Research may span organic and inorganic materials, materials discovery, aging behavior, energetics, energy storage, carbon capture, and related applications. A central theme is the rational design of new molecules, crystal structures, compositions, and other material units using existing, improved, and novel GenAI algorithms.

The postdoctoral researcher will collaborate with multidisciplinary teams that may include scientists from national laboratories, universities, and industry. Activities include developing and evaluating predictive models, integrating machine-learning outputs with physical simulations, supporting experimental validation, mentoring technologists and interns, refining project plans, and communicating results through scientific papers, peer-reviewed publications, seminars, and conferences.

The Materials Lifecycle Management Department works at the interface of materials science, engineering, data management, and national security mission delivery. Its activities include FAIR data solutions, AI/ML research, materials compatibility assessment, materials records and data ingestion, aging and lifetimes analysis, at-risk materials programs, and the development of GenAI models for application-specific materials discovery.

Funding details

Available

What's required

Applicants must hold a PhD in or related to Materials Science, Engineering, Applied Mathematics, Physics, Chemistry, Bioinformatics, Computer Science, Machine Learning, Artificial Intelligence, or a related field, with emphasis on building, evaluating, and applying predictive models. Required qualifications include familiarity with interpretable machine learning for discovering structure-function relationships from experimental or computational data, a record of technical accomplishment and written communication demonstrated by publications in high-impact scientific journals, and the ability to obtain and maintain a DOE Q-level security clearance. U.S. citizenship is required for the clearance. Desired qualifications include experience with active learning and GenAI for materials discovery, scientific conference presentations, strong statistics, machine learning and data science skills, collaboration in multidisciplinary modeling and materials teams, strong Python programming, and familiarity with database management tools. The PhD must have been conferred within five years before employment, and the selected candidate must work onsite.

How to apply

Apply through the Sandia National Laboratories job portal using Job ID 699504. Review the listed qualifications and clearance requirements before submitting the application.

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts and confirm requirements with the university.