The Eindhoven University of Technology (TU/e) is offering an exciting PhD position in the field of multicommodity energy systems, focusing on the optimal operation of these systems from both market and grid perspectives. The position is part of the BACH (Brainport Approach for a Congestion-free Holland) project, which aims to address the growing challenge of grid congestion due to increased renewable energy generation and electrification. The research will involve developing net-aware models and optimization-based operational strategies for multicommodity energy systems, integrating electricity, heat, and gas networks. The project will use real-life data from the TU/e campus and aims to create scalable solutions for congestion mitigation and renewable integration.

The PhD candidate will work within the Department of Electrical Engineering, collaborating with an interdisciplinary team and industrial partners. The research will focus on modeling energy systems under explicit distribution grid constraints, developing frameworks to assess the effectiveness of these systems in regional contexts, and validating concepts using real operational data. The ultimate goal is to contribute to scalable, congestion-aware energy management systems that facilitate large-scale renewable integration without immediate grid reinforcement.

Applicants should have a master's degree in a relevant field, such as electrical engineering, and possess strong skills in software engineering and system modelling. The position offers a four-year contract with a competitive salary and comprehensive benefits, including training programs, allowances, and support for international candidates. The application deadline is March 14, 2026, and candidates are encouraged to submit a complete application online, including a cover letter, CV, and references. For more information, contact Dr. Christina Papadimitriou at [email protected].

Key research areas include multicommodity energy systems, grid congestion, renewable energy integration, energy management systems, and optimization. The TU/e campus provides a unique environment for real-life validation of research outcomes, and the university is known for its collaborative approach with high-tech industries and its commitment to a smart, sustainable society.