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Pratyush Tiwary

4 months ago

Postdoctoral Researchers in Statistical Physics- and Thermodynamics-Aware AI for Chemistry and Biology University of Maryland in United States

Degree Level

Postdoc

Field of study

Computer Science

Funding

The appointment is for one year initially, with the possibility of renewal for a second year. Salary will be competitive with prestigious postdoctoral fellowships. No tuition information is provided.

Deadline

Expired

Country flag

Country

United States

University

University of Maryland

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Keywords

Computer Science
Chemistry
Materials Science
Biology
Artificial Intelligence
Medical Science
Statistical Mechanics
Molecular Systematics
Thermodynamic
Physics
Cancer Drug Discovery

About this position

Pratyush Tiwary’s lab at the University of Maryland, College Park and University of Maryland, Baltimore is recruiting three or more postdoctoral researchers to work on statistical physics- and thermodynamics-aware AI for chemistry and biology.

The positions are based across the Institute for Health Computing, the Institute for Physical Science and Technology, and the Department of Chemistry and Biochemistry. Research directions include AI models for molecular systems in low-data regimes, methods that extrapolate beyond training conditions, understanding and correcting failure modes in foundation models and generative AI, and predicting environment-aware structural ensembles for proteins, RNA, and small molecules. The work has direct relevance to drug discovery and may also connect to materials design.

Applicants should have a PhD or be close to finishing one, strong algorithmic ability, and AI+X expertise where X is physics, chemistry, or biology. The lab especially values candidates who can go beyond applying existing machine learning methods and who can explain how the methods work. A strong publication record is expected, and applicants should include links to code repositories and peer-reviewed papers in their CV.

The appointment is for one year initially, with the possibility of renewal for a second year. Salary is described as competitive with prestigious postdoctoral fellowships. The anticipated start date is July 2026 or later, and applications are encouraged as soon as possible.

To apply, email [email protected] with your CV and the requested materials. Early screening interviews are expected within a week of applying for candidates who fit the prerequisites.

Funding details

The appointment is for one year initially, with the possibility of renewal for a second year. Salary will be competitive with prestigious postdoctoral fellowships. No tuition information is provided.

What's required

Applicants should have a PhD or be close to finishing in a relevant field. Strong demonstrated algorithmic ability is required, along with AI+X expertise where X is physics, chemistry, or biology. Candidates should have experience beyond simply applying existing machine learning methods and should understand how these methods work. A strong record of peer-reviewed publications is expected, and applicants should be able to provide links to code repositories and a list of peer-reviewed papers.

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Professors

Professor

University Name
Country flag

United States

Research Interests

Artificial Intelligence

Physical Chemistry

Computer Science

Biology

Physics