Summary
Join TU Delft as a PhD candidate dedicated to advancing scientific machine learning. This fully funded position offers an exciting opportunity to explore modern SciML methods and contribute to foundational scientific models, playing a pivotal role in areas such as climate science and energy.
PhD Position in Scientific Machine Learning, Delft University of Technology, Netherlands
Designation
PhD Candidate in Scientific Machine Learning
| Specification | Details |
|---|---|
| Research Area | Scientific Machine Learning (SciML) |
| Location | Delft, Netherlands |
| Eligibility/Qualification | MSc in Computer Science, AI, Applied Mathematics, or a related field; strong programming skills, particularly in Python; understanding of machine learning fundamentals; interest in physical problems. |
| Salary | €3059 – €3881 gross/month + benefits |
| Hours per Week | 36-40 hours |
| Contract Duration | 4 years (initial contract of 1.5 years, followed by 2.5 years) |
Job Description
The PhD project focuses on the integration of data-driven techniques and established scientific knowledge to model complex systems. Candidates will explore various approaches, including physics-informed neural networks and uncertainty-aware methods, to tackle inverse problems and enhance scientific predictions.
How to Apply
Interested candidates should apply online by submitting:
- CV
- Motivational letter (max. 2 pages)
- Diplomas/Degrees with Grade Transcripts
All applications should be addressed to Dr. Jing Sun via the application button on the official TU Delft website.
Last Date to Apply
June 14, 2026
This scholarship provides a unique opportunity to contribute to cutting-edge research at one of the world’s leading technical universities in a vibrant multidisciplinary environment.
