Job opening
Postdoctoral Associate, Materials Design and Innovation
University at Buffalo · Location not listed
Source: University at Buffalo. Checked September 27, 2026.

About this role
Details from the published listing. Values marked classified were read by a model with high confidence, not quoted from the posting.
- Employer
- University at Buffalo
- Location
- Location not listed
- Compensation
- Not listed
- Employment type
- Not listed
- Work mode
- Not listed
- Sector
- Education
- Posted
- September 2, 2026
- Deadline
- Not listed
- Last checked
- September 27, 2026
Full description
The Department of Materials Design and Innovation at the University at Buffalo invites applications for a full-time Postdoctoral Associate in the Peng Research Group. The successful candidate will conduct research at the intersection of scientific AI, atomistic simulation, computational catalysis, and data-driven materials discovery.
- The position will primarily support a U.S. Department of Energy Genesis Mission project developing closed-loop and agentic AI workflows for chemical-manufacturing research.
- The associate will also contribute to an American Chemical Society Petroleum Research Fund project focused on the data-driven discovery of intermetallic alloy catalysts with unusual electronic structures.
- The research will combine first-principles atomistic simulations, scientific machine learning, reaction modeling, and integration of computational and experimental data.
- The associate will develop reproducible computational workflows, collaborate with researchers across multiple institutions and disciplines, and communicate research findings through publications, presentations, technical reports, software, and research datasets.
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Learn more:_
- Our benefits, where we prioritize your well-being and success to enhance every aspect of your life.
- Being a part of the University at Buffalo community.
As an Equal Opportunity / Affirmative Action employer, the Research Foundation will not discriminate in its employment practices due to an applicant’s race, color, religion, sex, sexual orientation, gender identity, national origin and veteran or disability status.