PhD on Computational modeling, optimization, and systems engineering for battery systems

We are looking for a highly motivated PhD candidate with a strong background in computational modeling, optimization, and systems engineering, eager to develop advanced design and simulation frameworks for battery pack topology and e-powertrain integration in collaboration with leading industry partners.

Information
Batteries are central to the sustainable energy transition, powering electric vehicles and improving grid utilization. Unlocking their full potential requires deeper insight into battery design, behavior, aging, safety, and efficiency. This PhD project develops advanced methods for battery pack design and optimization in electric powertrains, focusing on purpose-driven topology design (optimizing cell and module arrangement for performance) and vertical integration (seamless integration into vehicle architecture). You will create automated simulation frameworks combining electro-thermal-mechanical models for fast charging and robust performance. A key goal is a hierarchical design environment (cell → module → pack → vehicle) enabling flexible, automated workflows. The research addresses challenges such as battery pack topology optimization and integration of e-powertrain components (motor, inverter, onboard charger). The outcome will be a universal tool for early-stage system definition, including cell selection, arrangement, battery sizing, lifetime estimation, and modularity strategies (standardization and interchangeability across applications). Collaboration with leading industry partners ensures validation and practical impact.

The research will take under the umbrella of the project “Development of the Dutch CIrcular Manufacturing industry and BATTery value chain for heavy duty mobility” (CIMBATT), which is part of an 8-year program on circular battery technology. The project aims to develop new-generation innovative and circular battery packs for heavy-duty trucks, busses, mobile machines, maritime and aviation applications, focusing on battery module design and battery management system design. The group will collaborate with the leading stakeholders in the Dutch battery ecosystem to develop and demonstrate the next-generation algorithms and models for the future Battery Management System.

The PhD student will work on topics related to:

• Develop algorithms for battery pack topology optimization considering energy/power density, thermal safety, and functional constraints.
• Create parameterized electro-thermo-mechanical simulation models for optimal vertical integration of battery packs into vehicles.
• Design hierarchical optimization frameworks (cell → module → pack → vehicle) for automated and flexible integration.
• Investigate modularity strategies and conceptual design approaches for diverse applications.
• Collaborate with industrial partners to benchmark and validate TU/e tools using real-world pack designs.
• Deliver a universal simulation tool for initial system definition and layout of E-powertrain components.

Besides conducting research, you will also contribute to the educational programs in which the group is active by assisting in our course program as well as co-supervision of BSc and MSc students. This will allow developing indispensable skills.

A meaningful job in a dynamic and ambitious university, in an interdisciplinary setting and within an international network. You will work on a beautiful, green campus within walking distance of the central train station. In addition, we offer you:

• Full-time employment for four years, with an intermediate assessment after nine months. You will spend a minimum of 10% of your four-year employment on teaching tasks, with a maximum of 15% per year of your employment.
• Salary and benefits (such as a pension scheme, paid pregnancy and maternity leave, partially paid parental leave) in accordance with the Collective Labour Agreement for Dutch Universities, scale P (min. € 3,059 - max. € 3,881).
• A year-end bonus of 8.3% and annual vacation pay of 8%.
• High-quality training programs and other support to grow into a self-aware, autonomous scientific researcher. At TU/e we challenge you to take charge of your own learning process.
• An excellent technical infrastructure, on-campus children's day care and sports facilities.
• An allowance for commuting, working from home and internet costs.
• A Staff Immigration Team and a tax compensation scheme (the 30% facility) for international candidates.