PhD in Scientific ML for Foundation Models — Fully Funded (4 yrs)

Delft University of Technology; Delft; On-site; EUR 36,000 - 45,000; Full time

Benefits offered by this job

Customisable compensation package

Discounts on health insurance

Monthly work costs contribution

Job summary

The Delft University of Technology invites applications for a fully funded PhD position in Scientific Machine Learning (SciML) combining data-driven methods with physical laws to model complex systems.

Researchers will explore physics-informed networks, neural operators, and science-focused foundation models, working in a multidisciplinary setting within the EEMCS faculty and Pattern Recognition Lab. The position offers 4 years of employment, salary according to Dutch universities and benefits.

Qualifications

• MSc degree in computer science, artificial intelligence, applied mathematics, applied physics, or a closely related field.
• Strong theoretical understanding of machine learning and deep learning fundamentals.
• Basic knowledge and keen interest in physical problems and scientific applications.
• Strong programming skills (preferably Python).
• Ability to work independently and organize work.
• Strong research and interpersonal communication abilities.

Responsibilities

• Develop scientific foundation models for inverse problems and uncertainty-aware methods.
• Investigate generalization across different physical settings and boundary conditions.
• Collaborate with supervisors in a multidisciplinary environment to advance SciML research.
• Publish results and contribute to the TU Delft research community.

Skills

Python programming

Independent working

Research communication

Team collaboration

Education

MSc degree in computer science, AI, applied mathematics, or related field

Job description

The Delft University of Technology invites applications for a fully funded PhD position in Scientific Machine Learning (SciML) combining data-driven methods with physical laws to model complex systems.

Researchers will explore physics-informed networks, neural operators, and science-focused foundation models, working in a multidisciplinary setting within the EEMCS faculty and Pattern Recognition Lab. The position offers 4 years of employment, salary according to Dutch universities and benefits.