NIST Machine Learning for High Throughput Materials Discovery and Optimization Applications

Due: May 1, 2025

$82,764

Description

We are developing machine learning algorithms to accelerate the discovery and optimization of advanced materials, as part of the Materials Genome Initiative (MGI). These new algorithms will form part of a data analysis system that integrates machine learning, solid state physics, experimental materials properties databases, theory-based databases, and the theory of measurement instruments (e.g. X-ray diffractometers) to provide high throughput analysis of materials data. We are primarily interested in the high throughput analysis...

Award Ceiling$82,764

Eligible Applicants- PostDoc- Early Career Professor

Additional Eligibility Information

Qualified applicants will receive consideration without regard to race, creed, color, age, gender identity, or national origin. Education and Experience Applicants must have earned a Ph.D., Sc.D., M.D., D.V.M., or academically equivalent research doctorate before beginning tenure. The Fellowships Office makes NRC Research Associateship awards at the postdoctoral and senior researcher levels. Postdoctoral Associateships:Applicants must have held the doctorate for less than five years as of the application deadline. Senior Asso...

Funding TypefellowshipCategories of Funding Activity- Materials Science- Machine Learning

Grantor Contact InformationAaron Gilad Kusne, Phone: 301.975.6256Grantor Emailaaron.kusne@nist.govOther Grantor InformaitonThe NRC Research Associateship Programs (RAP) are prestigious postdoctoral and senior research awards designed to provide promising scientists and engineers with high-quality research opportunities at federal laboratories and affiliated institutions. Conducted by the National Academies of Sciences, Engineering, and Medicine's Fellowships Office since 1954, these programs offer a comprehensive research experience through a rigorous selection process. The programs aim to: 1) Offer promising postdoctoral and senior scientists/engineers the chance to pursue self-directed research aligned with sponsoring laboratories' goals, 2) Enhance comprehensive research efforts of participating laboratories, 3) Provide recent doctoral graduates a platform for focused research collaboration with permanent laboratory staff, and 4) Foster professional growth by providing opportunities to gain skills, experience, and connections with leading scientists, ultimately enhancing career prospects in academia, industry, or government research roles. The programs provide mentorship, access to state-of-the-art facilities, and opportunities to influence government policy.

Additional informationLocation: Gaithersburg, MD Additional URLs:

https://www.nationalacademies.org/our-work/rap/nrc-research-associateship-programs

https://sites.nationalacademies.org/pga/fellowships/afrl

https://www.nationalacademies.org/documents/embed/link/LF2255DA3DD1C41C0A42D3BEF0989ACAECE3053A6A9B/file/D13308589A09EC935FA87723EB963103495DB429AE7F?noSaveAs=1

https://www.nationalacademies.org/our-work/rap/for-applicants

Supporting Linkhttps://ra.nas.edu/RAPLab10/Opportunity/opportunity.aspx?LabCode=50&ROPCD=506431&RONum=B8265

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NIST - Scientific machine learning methods for trustable accelerated materials characterization and design

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