Theory and Computer Simulation of Soft Materials Using Machine Learning

Due: May 1, 2025

$82,764

Description

Statistical mechanical theory, computer simulation and machine learning will be used to study a wide variety of phenomena in soft matter including phase equilibrium, self-assembly and aggregation in biological materials, polymers, colloids and other complex fluids. Theory and computer simulation efforts include developing sampling methods and coarse-grained multi-scale modeling to compare with experimental measurements. Machine learning aspects of the project include training on simulation data, conducting simulations with machin...

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- Molecular simulation- Machine learning- Computational chemistry- Statistical mechanics- Neural networks- Material science

Grantor Contact InformationAdvisers: Harold Wickes Hatch, harold.hatch@nist.gov, 301.975.5421; Nathan Alexander Mahynski, nathan.mahynski@nist.gov, 301.975.6836.Grantor Emailrap@nas.eduOther Grantor InformationThe 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: Material Measurement Laboratory, Chemical Sciences Division, Gaithersburg, MD. NIST only participates in the February and August reviews. Additional URLs:

https://doi.org/10.1021/acs.jpcb.3c03928

https://doi.org/10.1021/acs.est.2c01894

https://doi.org/10.1039/D3SM00447C

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

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=506461&RONum=C0909