Delft University of Technology
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PhD in Scientific Machine Learning and Scientific Foundation Models Delft University of Technology in Netherlands
Degree Level
PhD
Field of study
Computer Science
Funding
Fully funded PhD position for 4 years with a salary of €3,204–€4,051 per month, plus 8% holiday allowance and 8.3% year-end bonus.
Deadline
Sep 29, 2026
Country
Netherlands
University
Delft University of Technology

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About this position
PhD opportunity at Delft University of Technology (TU Delft) in the Pattern Recognition Lab for research on Scientific Machine Learning and Scientific Foundation Models.
The project focuses on combining machine learning with physical laws to tackle complex scientific problems, including inverse problems, climate and geoscience, subsurface systems, physics-informed neural networks, neural operators, hybrid physics–ML, uncertainty quantification, and scientific simulation.
This is a fully funded PhD position for 4 years in Delft, Netherlands. The compensation is listed as €3,204–€4,051/month plus 8% holiday allowance and 8.3% year-end bonus.
Applicants should have an MSc in Computer Science, AI, Applied Mathematics, Applied Physics, or a closely related field. The post also highlights strong theoretical knowledge of machine learning and deep learning, interest in methodological ML development, basic knowledge or interest in physical and inverse problems, strong Python programming skills, and the ability to work independently and collaboratively with strong communication skills.
The deadline is 29 September 2026. Interested candidates should use the TU Delft vacancy link to review the full call and submit an application.
Funding details
Fully funded PhD position for 4 years with a salary of €3,204–€4,051 per month, plus 8% holiday allowance and 8.3% year-end bonus.
What's required
MSc in Computer Science, AI, Applied Mathematics, Applied Physics, or a closely related field. Strong theoretical knowledge of machine learning and deep learning, interest in methodological ML development, basic knowledge or interest in physical and inverse problems, strong programming skills preferably in Python, and the ability to work independently and in a team with strong research and interpersonal communication skills.
How to apply
Apply via the TU Delft careers page linked in the post. Review the vacancy details and submit the application before the deadline.
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