Publisher
source

Tuskegee University

Chemical Engineering Not specified in United States

Degree Level

PhD

Field of study

Chemistry

Funding

The position is supported by a recently funded NSF project. No specific details on stipend or tuition coverage are provided.

Deadline

Aug 1, 2026

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Country

United States

University

Tuskegee University

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Keywords

Chemistry
Chemical Engineering
Materials Science
Catalysis
Zeolite Science
Interatomic Potential
Machine learning

About this position

A PhD position is available at Tuskegee University in the research group associated with a recently funded NSF project. The research focuses on elucidating catalytic function within zeolitic pores using machine-learned interatomic potentials, combining chemical engineering, catalysis, and machine learning. Applicants should hold a bachelor’s degree in Chemical Engineering or a closely related field.

Programming experience and prior exposure to the development of intermolecular potentials using machine learning are considered advantageous. The position is funded by the NSF, but specific financial details are not provided. The anticipated start date is Spring 2026. Interested candidates are encouraged to contact the poster directly for more information and application procedures.

Funding details

The position is supported by a recently funded NSF project. No specific details on stipend or tuition coverage are provided.

What's required

Applicants must have a bachelor’s degree in Chemical Engineering or a closely related field. Programming experience and prior exposure to the development of intermolecular potentials using machine learning are preferred.

How to apply

Interested applicants should contact the poster directly for further information and application steps.

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