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Pratyush Tiwary

6 months ago

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

Degree Level

Postdoc

Field of study

Computer Science

Funding

Initial appointment is for 1 year, renewable for a second year. Competitive salary is offered.

Deadline

Expired

Country flag

Country

United States

University

University of Maryland

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Keywords

Computer Science
Chemistry
Materials Science
Artificial Intelligence
Computational Thinking
Physics

About this position

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.

Funding details

Initial appointment is for 1 year, renewable for a second year. Competitive salary is offered.

What's required

Applicants must have a PhD. Strong algorithmic thinking is required, demonstrated through papers and code. The role is aimed at candidates working at the interface of physics/chemistry and AI.

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Prepare your application

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Professors

Professor

University Name
Country flag

United States

Research Interests

Artificial Intelligence

Physical Chemistry

Computer Science

Biology

Physics