PhD: Safe Online Optimization for Distributed Systems

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

Benefits offered by this job

Pension scheme

Holiday allowance

Year-end bonus

Flexible leave

Job summary

Eindhoven University of Technology in Eindhoven invites applications for a PhD candidate in Control Systems. The project focuses on safe Bayesian optimization, online learning, and distributed estimation for large-scale, safety-critical systems.

You will develop new algorithms with provable guarantees and validate them on drones and building temperature control. Embedded in the Control Systems group within the Department of Electrical Engineering, you will work with international partners and

Qualifications

• Master's degree in a relevant field (Control, Electrical, Mechanical Engineering or Mathematics).
• Strong research attitude and curiosity.
• Willingness to contribute to teaching activities and coach students.
• Programming knowledge in Python (and optionally Julia).
• Fluent English, both spoken and written (C1).

Responsibilities

• Develop safe Bayesian optimization algorithms for time-varying settings.
• Design distributed learning schemes with partial information sharing.
• Study time/space decomposition to manage high dimensional problems.
• Derive convergence, regret and safety guarantees for non-stationary systems.
• Validate theory with UAV tracking and temperature control applications.

Skills

Python

Julia

English (C1)

Research mindset

Teaching willingness

Education

Master's degree in Control/Electrical/Mechanical Engineering or Mathematics

Tools

Python

Julia

Gaussian processes

Job description

Eindhoven University of Technology in Eindhoven invites applications for a PhD candidate in Control Systems. The project focuses on safe Bayesian optimization, online learning, and distributed estimation for large-scale, safety-critical systems.

You will develop new algorithms with provable guarantees and validate them on drones and building temperature control. Embedded in the Control Systems group within the Department of Electrical Engineering, you will work with international partners and