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Kaihang Shi

10 months ago

PhD Opening in AI/ML, Materials Science, and Chemical Engineering at University at Buffalo University at Buffalo in United States

Degree Level

PhD

Field of study

Computer Science

Funding

No explicit funding details are provided in the post. For more information, candidates are encouraged to consult the CDES PhD program page or contact the supervisors directly.

Deadline

Expired

Country flag

Country

United States

University

University at Buffalo

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Keywords

Computer Science
Data Science
Chemical Engineering
Materials Science
Ai/machine Learning
Advanced Computational Methods

About this position

The University at Buffalo is seeking a strong PhD candidate to join the research groups of Prof. Kaihang Shi and Prof. Jiayu Peng. The position focuses on interdisciplinary research at the intersection of artificial intelligence/machine learning (AI/ML), materials science, and chemical engineering. The successful candidate will work on computational methods aimed at accelerating scientific discovery, leveraging data science and advanced computational techniques.

This opportunity is part of UB's Computational and Data-Enabled Sciences (CDES) 3-year PhD program, which emphasizes interdisciplinary collaboration and innovative research. Applicants should already possess a Master's degree and demonstrate a keen interest in computational approaches to scientific problems. The program is designed for students excited about working across traditional boundaries in AI/ML, materials science, and chemical engineering.

Prospective students are encouraged to mention both Prof. Shi and Prof. Peng in their application materials. For more information about the CDES PhD program, visit the official program page. The application deadline for Fall 2026 is approaching, so interested candidates should act promptly. Funding details are not specified in the announcement; applicants may contact the supervisors or consult the program website for further information.

For questions or to discuss research opportunities, candidates are invited to reach out to the supervisors. This is an excellent opportunity for those passionate about computational science and interdisciplinary research in a leading US institution.

Funding details

No explicit funding details are provided in the post. For more information, candidates are encouraged to consult the CDES PhD program page or contact the supervisors directly.

What's required

Applicants must already hold a Master's degree and have a strong interest in computational methods for accelerating scientific discovery. Candidates should be excited about interdisciplinary research at the intersection of AI/ML, materials science, and chemical engineering, and be motivated to join the University at Buffalo's CDES 3-year PhD program. No specific GPA or language test requirements are mentioned.

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Professors

Assistant Professor

University Name
Country flag

United States

Research Interests

Condensed Matter Physics

Materials Chemistry

Gas Adsorption

Adsorption Science

Materials Science

Assistant Professor

University Name
Country flag

United States

Research Interests

Artificial Intelligence

Chemical Engineering

Materials Science

Computer Science

Machine Learning