PhD: Safe Online Optimization for Drones & Smart Buildings

Departments, Department of Electrical Engineering

Eindhoven

On-site

EUR 36,000 - 45,000

Full time

6 days ago

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Job summary

Departments, Department of Electrical Engineering at TU/e Eindhoven invites applications for a PhD candidate to advance safe Bayesian optimization and online learning for networked control systems. You will work with drone lab partners in Switzerland and TU Delft collaborators on rigorous guarantees and scalable algorithms.

You will join the Control Systems group, contribute to intelligent and responsible control of networked systems, and ultimately validate your theories on real drones and a

Qualifications

Master’s degree in Control Engineering, Electrical Engineering, Mechanical Engineering, or Mathematics.
If MSc, indicate expected graduation date in the cover letter.
Strong research-oriented attitude with curiosity.
Motivated to develop teaching skills and coach students.
Programming knowledge (Python, Julia).
Fluent in English (C1 level).

Responsibilities

Develop safe Bayesian optimization algorithms for time-varying settings.
Design distributed learning and optimization schemes with multiple agents.
Study surrogate models and optimization broken down in time and space.
Derive convergence, regret and safety guarantees for non-stationary environments.
Turn theory into algorithms validated on UAV tracking and building temperature control.

Skills

Python

Julia

English proficiency

Research mindset

Education

Master's degree in related field

Tools

Python

Julia

Job description

You will join the Control Systems group, contribute to intelligent and responsible control of networked systems, and ultimately validate your theories on real drones and a

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