Postdoc Opportunities in AI/ML-Driven Digital Twins and Virtual Instrumentation at Georgetown University and NIST Georgetown University in United States

Georgetown University and the National Institute of Standards and Technology (NIST) are advertising PREP Research Associate postdoctoral opportunities connected to the FRAME program.

The roles focus on building a modeling and simulation ecosystem centered on coherent material and measurement digital twins, with applications in multimodal measurement science, soft matter, bioformulations, and related materials systems.

Open postdoc topics include:

• Bioformulation Digital Twin Developer — uses generative AI, physics-grounded modeling, uncertainty quantification, and multimodal measurements such as SAXS, SANS, RSoXS, Cryo-EM, light scattering, and related observables.

• Virtual Instrument Developer — focuses on high-fidelity virtual instruments that combine measurement physics, scientific computing, and machine learning to predict experimental observables; possible techniques include scattering, rheology, microscopy, and related methods.

These positions are especially suitable for candidates interested in AI/ML for science, scientific computing, measurement modeling, uncertainty quantification, autonomous experimentation, and reproducible research workflows.

The post says the positions will remain open until a candidate is found, but applicants are encouraged to apply soon because Georgetown University/NIST will begin assessing candidates and scheduling interviews in the next several weeks.

Application is through the provided portal link. Applicants should submit a CV and cover letter as one combined PDF, and separate submissions are required for each position.