The Shi group at the University at Buffalo is seeking motivated Postdoctoral Associates in the Department of Chemical and Biological Engineering. This opportunity is ideal for candidates interested in computational and theoretical chemical engineering, with a focus on generative machine learning, machine learning force fields, and their applications in metal-organic frameworks (MOFs) and polymer membranes. The research will involve developing simulation algorithms and software to model gas adsorption behavior in porous materials, creating novel machine learning models for predicting gas adsorption, and investigating molecular transport and separation mechanisms for membrane processes.

Applicants should have a PhD in Chemical Engineering, Materials Science, or a related field, with expertise in at least one of the following: quantum mechanics, molecular simulation, or machine learning (preferably generative AI). A strong publication record and the ability to work independently are preferred. The position offers a competitive salary of $52,000 per year and a comprehensive benefits package, including health and retirement plans. The University at Buffalo is a leading public research university and a flagship of the State University of New York system, recognized for its excellence and impact in research and education.

The Shi group is dedicated to advancing the field of computational chemical engineering through innovative research in machine learning and materials simulation. The successful candidate will have the opportunity to publish journal articles, present at professional conferences, and contribute to cutting-edge research in gas adsorption and membrane processes. The University at Buffalo provides a supportive environment for professional growth and development, with resources for career coaching and training.

To apply, candidates should submit a cover letter and curriculum vitae through the University at Buffalo job portal. One reference is required. The application deadline is March 20, 2026. For more information about the Shi group and the Department of Chemical and Biological Engineering, visit the university's website.