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Jiayu Peng

1 year ago

Computational and Data-Enabled Sciences University at Buffalo in United States

Degree Level

PhD

Field of study

Computer Science

Funding

No explicit funding details are provided in the post. Typically, PhD positions in the US are funded, but applicants should confirm funding details directly with the supervisors or program.

Deadline

Dec 28, 2026

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Country

United States

University

University at Buffalo

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Keywords

Computer Science
Data Science
Machine Learning
Chemical Engineering
Materials Science
Artificial Intelligence
Numerical Analysis
Computational Science
High Performance Computing

About this position

A co-advised PhD position is available at the University at Buffalo in the Computational and Data-Enabled Sciences (CDES) PhD program, starting Fall 2026. The opportunity is at the intersection of artificial intelligence, materials science, and chemical engineering, and is supervised by Dr. Jiayu Peng and Dr. Kaihang Shi.

The CDES program is interdisciplinary, integrating data science, numerical algorithms, and high-performance computing to accelerate scientific and engineering discovery. Applicants must already hold a Master’s degree and the program is designed for a 3-year completion timeline. Interested candidates are encouraged to contact the supervisors by email to learn more about the research and opportunities, and should mention both supervisors in their statement of purpose and application portal. More information about the program can be found on the university website.

Funding details are not specified in the post, so applicants should inquire directly. The University at Buffalo is a leading research institution in the US, offering a collaborative environment for interdisciplinary research.

Funding details

No explicit funding details are provided in the post. Typically, PhD positions in the US are funded, but applicants should confirm funding details directly with the supervisors or program.

What's required

Applicants must already hold a Master’s degree prior to starting the program. The opportunity is for a co-advised PhD position in the Computational and Data-Enabled Sciences (CDES) program, which is interdisciplinary and integrates data science, numerical algorithms, and high-performance computing. No specific GPA, language test, or other requirements are mentioned in the post.

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Professors

Assistant Professor

University Name
Country flag

United States

Research Interests

Artificial Intelligence

Computer Science

Materials Science

Chemical Engineering

Machine Learning