PhD in Optimal Operation of Multicommodity Energy Systems from a Market and Grid Perspective Eindhoven University of Technology in Netherlands

This PhD position at Eindhoven University of Technology offers an exciting opportunity to contribute to the optimal operation of multicommodity energy systems, focusing on grid congestion and renewable energy integration. The research is embedded within the BACH (Brainport Approach for a Congestion-free Holland) project, a real-life demonstration initiative on the TU/e campus. The project addresses the challenges posed by increasing congestion in Dutch electricity distribution grids, driven by the rapid growth of renewable energy generation and electrification of energy demand. Due to limited grid capacity, many customers face long connection queues, and a significant share of renewable generation cannot be connected or must be curtailed.

BACH aims to mitigate congestion by integrating electricity, heat, and gas systems into a multicommodity energy system, using a data-driven and proactive approach. The optimal operation of this system is demonstrated on campus, with real-life project data and results scaled for broader application. The project leverages distribution grid data, customer profiles, and energy transition scenarios to identify where storage and conversion technologies can be most effectively deployed to relieve grid congestion and enhance renewable integration.

A central element is the development of an open-architecture Multicommodity Energy Management System (MC-EMS) and impact analysis tools, enabling grid-aware and market-aware operation of energy hubs. These concepts are validated at TU/e and designed for scalability to regional and national levels. The PhD research focuses on modeling and optimizing multicommodity energy systems under explicit distribution grid constraints, systematically incorporating real grid congestion information into system models and operational decision-making. The candidate will develop net-aware models, optimization-based operational strategies from both economic and grid perspectives, and frameworks to assess effectiveness in regional contexts, considering future energy transition impacts.

The models and strategies will be validated using real grid data and operational conditions, with TU/e campus serving as a full-scale validation environment. The research aims to deliver scalable, congestion-aware energy management concepts that support large-scale renewable integration without immediate grid reinforcement.

Applicants should hold a master’s degree in a relevant field, possess a research-oriented attitude, experience with software engineering and system modelling, and be able to work in interdisciplinary teams. Fluency in English (C1 level) is required. The position offers full-time employment for four years, with an intermediate assessment after nine months. Teaching tasks comprise 10–15% of employment. Salary is in scale P (€3,059–€3,881/month), with year-end bonus, vacation pay, pension, parental leave, commuting and home working allowances, and immigration support for international candidates.

To apply, submit a cover letter, CV with publications, and contact information for three references via the online application link. Only complete applications will be considered. The vacancy remains open until filled, with a deadline of March 14, 2026.