Meet ApplyKite Twin, the application assistant that learns with you
Meet your Twin, it learns with you
Your Twin learns with you
Launch week codes:30% off annual Pro20% off monthly Pro
Ends in00h00m00s
Ends in00h00m00s
Sandia Biotech, Inc
Just Landed
New Today
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
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
Suggested positions
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.
Make your next move.
Prepare your application
Review drafts and confirm requirements with the university.
Make your next move.
Prepare your application
Review drafts and confirm requirements with the university.