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University of Georgia

Just Landed

Fully Funded PhD in AI- and Data-Driven Computational Brain Mechanics University of Georgia in United States

Degree Level

PhD

Field of study

Computer Science

Funding

Fully funded PhD position supported by an NSF/NIH-funded project. No stipend or tuition details are provided.

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Country

United States

University

University of Georgia

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Keywords

Computer Science
Biomedical Engineering
Mechanical Engineering
Artificial Intelligence
Neuropsychology
Computational Mechanics
Neurodevelopment
Technical Engineering
Programming Language

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About this position

This fully funded PhD opportunity is based in the Bio-Digital Mechanics (Bio-DMX) Lab in the College of Engineering at the University of Georgia in the United States.

The project combines computational mechanics, artificial intelligence, and data analysis to investigate brain development and disorders. The doctoral researcher will work at the intersection of engineering, computational modeling, biomedical research, and data-driven methods, using quantitative and programming approaches to study complex biological systems.

The research is led by Professor Xianqiao Wang and is supported by an NSF/NIH-funded project. It offers a research environment focused on bio-digital mechanics and the application of engineering computation to problems in brain science.

The position is intended for applicants with engineering or related academic backgrounds who are interested in computational brain mechanics, AI, programming, and quantitative biomedical research.

Funding details

Fully funded PhD position supported by an NSF/NIH-funded project. No stipend or tuition details are provided.

What's required

Applicants should have a bachelor's degree and normally a master's degree in engineering or a related field, a minimum GPA of 3.0/4.0, strong quantitative and programming skills, and English proficiency scores such as TOEFL or IELTS if applicable. Three references are required.

How to apply

Email a CV, cover letter, transcripts, and three references to [email protected]. Use the subject line “Fall 2027 PhD - AI/Data-Driven Brain Mechanics.” Applications are considered on a rolling basis until the position is filled.

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