PhD: Safe Online Optimization for Time-Varying Systems

TU Delft; Nederland; Hybrid; EUR 36,000 - 45,000; Full time

Job summary

TU Delft invites applications for a PhD position on Efficient Online Optimization for Time-Varying Systems. The project aims to develop safe, data-efficient learning methods for time-varying control problems, with experimental validation in collaboration with TU Eindhoven and NEST.

The successful candidate will join the Delft Center for Systems and Control (DCSC) and work toward a four-year doctoral agreement.

Qualifications

• MSc degree in Systems and Control, Mathematics, Computer Science or similar (essential).
• Experience with optimization algorithms (essential).
• Experience with Bayesian optimization (desirable).
• Experience with numerical methods (desirable).
• Strong collaboration, communication and writing skills.

Skills

Optimization algorithms

Bayesian optimization

Numerical methods

Collaboration & writing

Education

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

Job description

TU Delft invites applications for a PhD position on Efficient Online Optimization for Time-Varying Systems. The project aims to develop safe, data-efficient learning methods for time-varying control problems, with experimental validation in collaboration with TU Eindhoven and NEST.

The successful candidate will join the Delft Center for Systems and Control (DCSC) and work toward a four-year doctoral agreement.