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University of Illinois Urbana–Champaign

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Fully Funded PhD in AI, Scientific Machine Learning, and Computational Engineering at University of Illinois University of Illinois in United States

Degree Level

PhD

Field of study

Computer Science

Funding

Full funding available
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Country

United States

University

University of Illinois Urbana–Champaign

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Keywords

Computer Science
Agriculture
Biomedical Engineering
Mechanical Engineering
Chemical Engineering
Deep Learning
Mathematics
Artificial Intelligence
Heat Transfer
Computational Science
Optimisation
Data-driven Modeling
Statistics
Machine learning

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About this position

Fully funded PhD opportunity at the University of Illinois in the Department of Agricultural and Biological Engineering. The project sits at the intersection of Artificial Intelligence, Scientific Machine Learning (SciML), Computational Engineering, Deep Learning for Scientific Computing, Heat & Mass Transfer Modeling, High-Performance Scientific Computing, Data-Driven Modeling & Optimization, and Computational Fluid Dynamics (CFD).

The research combines physics-based modeling with modern AI techniques to build robust, interpretable, and computationally efficient simulation tools for real-world engineering problems. This is a strong fit for students interested in AI/ML for scientific and engineering applications, scientific computing, and computational modeling.

Eligible applicants should have a Bachelor’s or Master’s degree in Agricultural Engineering, Biological Engineering, Mechanical Engineering, Chemical Engineering, Computer Science, Applied Mathematics, Computational Engineering, Data Science, Artificial Intelligence, or a closely related field. Preferred experience includes Python, Julia, scientific computing libraries, AI frameworks, and CFD tools such as OpenFOAM, ANSYS Fluent, or COMSOL.

Funding includes a full tuition waiver, competitive annual stipend, health insurance subject to university policy, and support for conferences, workshops, and professional development. Application materials requested are a CV, academic transcripts, and contact information for 2–3 references. Applications are to be submitted by email to [email protected].

The post mentions openings for Fall 2026 / Spring 2027, but no exact deadline is provided.

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

More information can be found here

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