Jiayu Peng
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Postdoctoral Associate in Agentic AI and Computational Catalysis at University at Buffalo University at Buffalo in United States
Degree Level
Postdoc
Field of study
Computer Science
Funding
Full funding availableCountry
United States
University
University at Buffalo

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About this position
University at Buffalo is hiring a Postdoctoral Associate in Agentic AI × Computational Catalysis within the Peng Research Group.
The position sits at the intersection of scientific AI, first-principles atomistic simulations, computational catalysis, and data-driven materials discovery, with primary support for the DOE Genesis Mission project. The postdoc will also benefit from access to world-class AI computing through Empire AI and collaboration with a multi-institutional DOE team.
This opportunity is based in Buffalo, NY and is full-time, in person. The preferred start date is September 2026 or as soon as possible thereafter, and applications are reviewed on a rolling basis.
Applicants should hold a PhD in materials science, chemical engineering, chemistry, physics, computational science, or a closely related field. The post specifically seeks experience with DFT or related first-principles simulations, AI/ML for scientific or engineering problems, Python, Linux/HPC environments, and automated, reproducible computational workflows. Backgrounds in GNNs, machine-learning interatomic potentials, active learning/Bayesian optimization, agentic AI, and computational catalysis are especially welcome.
To apply, email jypeng@buffalo.edu with your CV, at least two references, and a cover letter describing your research experience, interest in the role, and earliest available start date.
Funding details
Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.
How to apply
Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.
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