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University of Georgia

Just Landed

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

Degree Level

PhD

Field of study

Computer Science

Funding

The PhD position is fully funded; no stipend amount or specific tuition and benefits 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
Neurodevelopment
Data-driven Modeling
Programming Language

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About this position

The Bio-Digital Mechanics (Bio-DMX) Lab in the College of Engineering at the University of Georgia is offering a fully funded PhD position in computational brain mechanics under Professor Xianqiao Wang.

The thesis focuses on AI- and data-driven computational brain mechanics, with applications to brain development and disorders. The project is suited to researchers interested in combining computational mechanics, artificial intelligence, scientific programming, and biomedical engineering to investigate complex biological systems.

Students will work in an engineering research environment where computational and data-driven approaches are applied to problems involving the brain. The advertised programming background includes Python, MATLAB, or C/C++, supporting the development and use of computational models for brain-related research.

Funding details

The PhD position is fully funded; no stipend amount or specific tuition and benefits 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, and strong programming skills in Python, MATLAB, or C/C++.

How to apply

Apply to the PhD position through the Bio-Digital Mechanics (Bio-DMX) Lab or Professor Xianqiao Wang. The advert states that applications are considered on a rolling basis until the position is filled, but it does not provide a direct application portal.

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