Publisher
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Delft University of Technology

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PhD in Scientific Machine Learning and Scientific Foundation Models at TU Delft Delft University of Technology in Netherlands

Degree Level

PhD

Field of study

Computer Science

Funding

Full funding available

Deadline

December 31, 2026
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Country

Netherlands

University

Delft University of Technology

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Keywords

Computer Science
Data Science
Environmental Science
Electrical Engineering
Information Technology
Mathematics
Artificial Intelligence
Computational Science
Applied Physics
Statistics
Inverse Problem
Physics
Applied Mathematic
Machine learning

About this position

Fully funded PhD opportunity at Delft University of Technology (TU Delft) in the Netherlands.

The project is titled Scientific Machine Learning, Toward Scientific Foundation Models and focuses on research areas including scientific machine learning, physics-informed neural networks, neural operators, inverse problems, climate AI, energy AI, and scientific computing.

This opening is suitable for candidates from Computer Science, AI, Applied Mathematics, Applied Physics, Data Science, or closely related fields. The post highlights a strong interest in applicants who want to work on AI methods for real-world scientific applications.

Supervisor: Dr. Jing Sun.

Funding: Fully funded PhD position.

Deadline: 14 June 2026.

Interested applicants should use the TU Delft careers posting to review the full job details and submit an application before the deadline.

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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