POSTDOC POSITIONS 

My lab at the University of Maryland, College Park and Baltimore, is recruiting one or more postdoctoral researchers to work on foundation models for chemistry and biology, including but not limited to machine-learned force fields. You will work with my collaborative team of PhD and Postdoc researchers distributed across the Institute for Health Computing, the Institute for Physical Science and Technology, and the Department of Chemistry and Biochemistry.

The work will focus on understanding, predicting, and correcting failure modes that arise during training and deployment of heavy duty AI models, especially as these models are applied over longer timescales, across broader classes of systems, and across different data modalities. The project will involve developing and deploying high-fidelity computational methods, with applications broadly spanning energy and health. The precise application area can be adapted based on the candidate’s domain expertise.

The initial appointment is for one year, with the possibility of renewal for a second year. Salary will be competitive with prestigious postdoc fellowships. 

Candidates should have a PhD (or be close to finishing) in a relevant field, demonstrated strong algorithmic ability, and experience that goes beyond applying existing machine learning methods. The position requires method and software development. Broadly speaking, applicants should bring AI+X expertise, where X is physics or chemistry or biology. Applicants should also have a strong record of peer-reviewed publications and should send a CV that includes links to code repositories and a list of peer-reviewed papers. 

Please apply by emailing me at ptiwary@umd.edu your CV with these items listed above. Please also share this with anyone who may be interested. Applications are encouraged as soon as possible, and anticipated start date is July 2026 or later.