PhD: Safe Learning for Time-Varying Control Systems

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

Benefits offered by this job

Holiday allowance

End-of-year bonus

Relocation assistance

Customisable compensation

Health insurance discounts

Work costs contribution

Flexible work schedules

Job summary

Delft University of Technology invites applications for a PhD position focused on safe learning control for time-varying systems. The project aims to develop computationally efficient algorithms that learn while guaranteeing safety in energy-intensive applications.

You will work with the Delft Center for Systems and Control and collaborate with partners in Switzerland, with a starting date by March 30, 2027, in an environment that supports early career researchers.

Qualifications

• MSc degree in Systems and Control, Mathematics, Computer Science or similar field.
• Prior experience with optimization algorithms.
• Prior experience with Bayesian optimization.
• Prior experience with numerical methods.
• Strong collaboration, communication and writing skills.

Responsibilities

• Develop safe learning methods for time-varying control problems.
• Validate algorithms through experimental collaboration and simulations.
• Contribute to theory and practical applications in energy systems and buildings.

Skills

Optimization algorithms

Bayesian optimization

Numerical methods

Collaboration & writing

Education

MSc degree in Systems and Control, Mathematics, Computer Science or similar

Job description

Delft University of Technology invites applications for a PhD position focused on safe learning control for time-varying systems. The project aims to develop computationally efficient algorithms that learn while guaranteeing safety in energy-intensive applications.

You will work with the Delft Center for Systems and Control and collaborate with partners in Switzerland, with a starting date by March 30, 2027, in an environment that supports early career researchers.