Postdoctoral Fellow; PREP

Job Details

Posted: 24-Jun-25

Location:

Gaithersburg, Maryland

Type:
Full-time

Salary: $84,000-$89,000 a year

Internal Number: A-169494-26

Summary here.

Process Modeling using Physically Informed Machine Learning

• Designing and training physics-informed machine learning (PIML) models for the prediction of physical and chemical properties using data from experiments and computation constrained by physics requirements.
• Implementing algorithms to assess the performance of PIML models.
• Assessing uncertainty in the predictions of PIML models.
• Developing systems for multiscale modeling of atomic layer deposition processes.
• Developing software to implement the goals stated above (most likely in Python).
• Disseminating results through posters/seminars and international meetings and meeting seminars.
• Ensuring that all results, findings, data, software, etc. are correctly archived and transmitted through appropriate channels.

• Algorithm development, implementation, and analysis.
• Analyze heterogeneous data sources.
• Presenting results at internal meetings, and occasional meetings with external stakeholders.
• Ensuring that results, protocols, software, and documentation have been archived or otherwise transmitted to the larger organization.

• A Ph.D degree in Chemistry, Physics, Mathematics, Computer Science, Data Science, or a related field.
• Significant course work in one or more of chemistry, physics, mathematics, statistics and/or computer science.
• Familiarity with one or more chemical process modeling packages (e.g. Cantera, CHEMKIN).
• Familiarity with one or more AI/ML software packages (e.g. Tensorflow or Pytorch).
• Ability to program in a modern computational language (e.g. Python).
• Strong oral and written communication skills.

Please upload the following with your application:

• CV/Resume

* Please limit C.V to 3 pages only and ONLY include a valid email address for your contact info. Please DO NOT include telephone numbers, home address or photos on your resume.

Authority: 15 U.S.C. § 278g-1(e)(1) and (e)(3) and 15 U.S.C. § 272(b) and (c)

Purpose: The National Institute for Standards and Technology (NIST) hosts the Professional Research Experience Program (PREP) which is designed to provide valuable laboratory experience and financial assistance to undergraduates, post-bachelor's degree holders, graduate students, master's degree holders, postdocs, and faculty.

PREPis a 5-year cooperative agreement between NIST laboratories and participating PREP Universities to establish a collaborative research relationship between NIST and U.S. institutions of higher education in the following disciplines including (but may not be limited to) biochemistry, biological sciences, chemistry, computer science, engineering, electronics, materials science, mathematics, nanoscale science, neutron science, physical science, physics, and statistics. This collection of information is needed to facilitate the administrative functions of the PREP Program.

Routine Uses: NIST will use the information collected to perform the requisite reviews of the applications to determine eligibility, and to meet programmatic requirements. Disclosure of this information is also subject to all the published routine uses as identified in the Privacy Act System of Records Notices: NIST-1: NIST Associates.

Disclosure: Furnishing this information is voluntary. When you submit the form, you are indicating your voluntary consent for NIST to use of the information you submit for the purpose stated. By applying to a CHIPS-funded PREP opportunity, you also acknowledge that participation in the project requires signing a Non-Disclosure Agreement (NDA) prior to beginning any work.