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Giulia de Pasquale

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PhD in Efficient Online Optimization Eindhoven University of Technology in Netherlands

Degree Level

PhD

Field of study

Computer Science

Funding

Full-time PhD employment for 4 years with salary scale P of €3,204–€4,051 gross per month, plus 8% holiday allowance and 8.3% year-end bonus.

Deadline

Dec 4, 2026

Country flag

Country

Netherlands

University

Eindhoven University of Technology

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Keywords

Computer Science
Mechanical Engineering
Electrical Engineering
Mathematics
Online Learning
Gaussian Processes
Optimal Control
Constrained Optimization
ML

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About this position

This PhD project at Eindhoven University of Technology focuses on efficient online optimization for systems that cannot be fully modeled in advance and whose objectives and constraints change over time. The research addresses safety-critical, large-scale, and distributed settings such as drones in cluttered environments, buildings with autonomous climate control, and supply chains affected by changing markets and events.

The student will work on the theory and design of new methods that combine safe Bayesian optimization, online learning, and distributed estimation. The aim is to create algorithms with provable convergence and safety guarantees, especially for non-stationary settings where multiple agents cooperate without central coordination. The project is primarily theoretical, with a strong emphasis on rigorous analysis and new algorithmic frameworks.

The PhD candidate will be embedded in the Control Systems group at TU/e and contribute to its research program on intelligent and responsible control of networked systems. The project also includes experimental validation with partners in the drone lab at TU Eindhoven and at the NEST building in Dübendorf, Switzerland. Applications include UAV reference tracking and obstacle avoidance, as well as temperature control in a real residential building.

The work sits at the intersection of optimization, control, Gaussian processes, distributed systems, and machine learning, and the student will collaborate with academic partners including TU Delft and partners in Switzerland.

Funding details

Full-time PhD employment for 4 years with salary scale P of €3,204–€4,051 gross per month, plus 8% holiday allowance and 8.3% year-end bonus.

What's required

Applicants must have a master's degree or equivalent in Control Engineering, Electrical Engineering, Mechanical Engineering, or Mathematics. If still completing the MSc in one of these fields, the expected graduation date should be stated in the cover letter. A research-oriented attitude with curiosity is expected, along with motivation to develop teaching skills and coach students. Programming knowledge in Python or Julia is preferred, and fluent spoken and written English at C1 level is required.

How to apply

Apply through the AcademicTransfer application link. If you are still completing your MSc, mention your expected graduation date in the cover letter. For questions about the position, contact Dr. Giulia de Pasquale or Prof. dr. ir. Roland Toth.

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Professors

Professor at Eindhoven University of Technology

University Name
Country flag

Netherlands

Research Interests

Control System

Flight Dynamics

Optimal Control

Sliding Mode Control

Parameter-varying Systems