PhD: Safe Online Optimization for Time-Varying Systems

TU Delft; Delft; On-site; EUR 36,000 - 45,000; Full time

Job summary

PhD position at TU Delft focuses on efficient online optimization for time-varying systems, aiming to develop safe learning methods with minimal interactions. The project sits at the Delft Center for Systems and Control (DCSC) and involves collaboration with Dr Giulia de Pasquale from TU Eindhoven and partners in Switzerland (NEST).

Starting no later than 30 March 2027. The selected candidate will join the group of Dr Marta Zagorowska at DCSC and conduct experimental validation as part of a

Qualifications

• MSc degree in Systems and Control, Mathematics, Computer Science or similar (essential).
• Prior experience with optimization algorithms (essential).
• Prior experience with Bayesian optimization (desirable).
• Prior 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

PhD position at TU Delft focuses on efficient online optimization for time-varying systems, aiming to develop safe learning methods with minimal interactions. The project sits at the Delft Center for Systems and Control (DCSC) and involves collaboration with Dr Giulia de Pasquale from TU Eindhoven and partners in Switzerland (NEST).

Starting no later than 30 March 2027. The selected candidate will join the group of Dr Marta Zagorowska at DCSC and conduct experimental validation as part of a