NIST Machine Learning Methods for the Prediction and Correlation of Thermophysical Properties

Due: May 1, 2025

$82,764

Description

Empirical correlations derived from existing experimental data have always played an important role in thermophysical property estimation. These empirical correlations were traditionally developed on the basis of some reliable but often very limited data compilations. Currently, large comprehensive experimental data collections have not only become more readily available, but are also more accessible to systematic studies due to rapid advances in database technologies. On the other hand, machine learning methods capable of recogn...

Award Ceiling$82,764

Eligible Applicants- Early Career Professor- PostDoc

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- Thermophysical properties- Machine learning- Data processing

Grantor Contact InformationAndrei Kazakov, andrei.kazakov@nist.gov, 303.497.4898Grantor Emailandrei.kazakov@nist.govOther 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: Boulder, CO. Base Stipend: $82,764.00, Travel Allotment: $3,000.00. 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=506472&RONum=B7549

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NIST Machine Learning Methods for the Prediction and Correlation of Thermophysical Properties

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NIST Machine Learning Methods for the Prediction and Correlation of Thermophysical Properties

Start finding grants with Atom for

$0 today

$30 Billed monthly after 7-day trial. Cancel anytime.

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AI powered search engine with both keyword and semantic search capabilities.

Grant filters to find the perfect funding opportunities.

Application of Artificial Intelligence Techniques for Acquisition and Analysis of Thermophysical and Thermodynamic Property Information

Development of Viscosity Prediction Methods Based on Molecular Parameters and Intermolecular Interaction for Organic Compounds

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