Postdoc in Machine Learned Force Fields and Foundation Models at the University of Maryland University of Maryland in United States

Pratyush Tiwary, Professor at the University of Maryland (College Park, United States), is recruiting a postdoc to join the group for research on machine learned force fields and foundation models.

The project focuses on understanding how emergent failure modes in long-running, diverse systems or modalities can be predicted during training itself. This is a research opportunity at the intersection of physics, chemistry, and AI, with a strong emphasis on algorithmic thinking, papers, and code.

The appointment is for 1 year, with the possibility of renewal for a second year, and the position offers a competitive salary.

Eligibility highlights: applicants should already hold a PhD and be able to demonstrate strong research and coding ability. The post is especially relevant for candidates interested in computational science, molecular modeling, and AI-driven scientific discovery.

How to apply: use the linked application page and apply ASAP. The post does not list a formal deadline, so early application is advisable.