PhD: Fair Distributed Control for Large-Scale Networks

AcademicTransfer; Nederland; On-site; EUR 36,000 - 45,000; Full time

Benefits offered by this job

Pension scheme

Extended leave

Holiday allowance

Year-end bonus

Commuting allowance

On-campus childcare

Mental health support

Job summary

Eindhoven University of Technology (TU/e) invites applications for a PhD position in distributed optimization and control theory within the Control Systems group. The project focuses on scalable, fair resource allocation in large-scale networked systems, with emphasis on convergence guarantees and real-world data from Dutch networks.

The successful candidate will develop and analyze algorithms (consensus-based, primal-dual, ADMM-type) and probabilistic allocation policies, and will publish in

Qualifications

• Master’s degree in a relevant field or equivalent.
• Strong background in control theory and/or optimization.
• Strong mathematical and analytical skills.
• Fluent in English (spoken and written).
• Programming experience in Python, MATLAB or Julia.

Responsibilities

• Formulate fair resource allocation problems for large-scale multi-agent systems.
• Design and analyze distributed optimization algorithms.
• Develop fairness-aware feedback controllers with provable guarantees.
• Validate methods on realistic networked systems and data.

Skills

Control theory

Optimization

Mathematical skills

Teamwork

English

Education

Master's degree in Systems & Control / related field

Tools

Python

MATLAB

Julia

Job description

Eindhoven University of Technology (TU/e) invites applications for a PhD position in distributed optimization and control theory within the Control Systems group. The project focuses on scalable, fair resource allocation in large-scale networked systems, with emphasis on convergence guarantees and real-world data from Dutch networks.

The successful candidate will develop and analyze algorithms (consensus-based, primal-dual, ADMM-type) and probabilistic allocation policies, and will publish in