Fully Funded PhD in Scientific Machine Learning and Foundation Models for Science Delft University of Technology in Netherlands

Fully funded PhD opportunity at Delft University of Technology (TU Delft) in Scientific Machine Learning (SciML), with a research focus on foundation models for science.

The position is aimed at candidates interested in applying machine learning to scientific and physical systems, including scientific simulation, inverse problems, energy systems, geoscience, and climate science. This is a strong fit for applicants with solid ML foundations and an interest in interdisciplinary research at the interface of AI, computation, and scientific modeling.

The post is shared by Jing Sun, Assistant Professor at TU Delft. The announcement indicates that the PhD is fully funded, but it does not specify stipend amount, tuition coverage details, deadline, or a formal application portal.

Eligibility highlights mentioned in the post are broad: strong machine learning background and curiosity about scientific and physical systems. No explicit requirements are given for degree level beyond the PhD opening, and no language-test waiver or fee waiver is mentioned.

If you are interested, you should contact Jing Sun directly or follow the LinkedIn post for updates. The post also encourages sharing with potential candidates who may be a strong fit.