Summary
TU Delft is offering a fully funded PhD position in the emerging field of Scientific Machine Learning (SciML). This project aims to advance foundation models for scientific applications by integrating machine learning techniques with established scientific principles.
PhD Position in Scientific Machine Learning, TU Delft, Netherlands
Designation
PhD Candidate
| Category | Details |
|---|---|
| Research Area | Scientific Machine Learning (SciML) |
| Location | TU Delft, Netherlands |
| Eligibility/Qualification | MSc degree in computer science, artificial intelligence, applied mathematics, applied physics, data science, or a related field. Strong interest in research and knowledge of machine learning is required. |
Job Description
The successful candidate will focus on developing modern SciML methods such as physics-informed neural networks and hybrid physics-ML approaches. The research will address complex scientific problems across various domains including climate sciences and energy modeling. Key responsibilities include:
- Conducting innovative research in SciML
- Collaborating with multidisciplinary teams
- Publishing findings in scientific journals
- Engaging in community events and outreach initiatives
How to Apply
Interested candidates should submit the following documents by the application deadline:
- CV
- Motivational letter (max two pages)
- Diplomas/Degrees including transcripts
Applications must be submitted online via the TU Delft application portal.
Last Date to Apply
June 14, 2026
For further inquiries, please contact Dr. Jing Sun at jing.sun@tudelft.nl.
