Doctoral student in Battery Storage in Electricity Markets KTH Royal Institute of Technology in Sweden

This doctoral position at KTH Royal Institute of Technology focuses on advancing battery energy storage participation in the Nordic electricity market, supporting the transition to a sustainable, low-carbon energy system. As renewable generation increases, battery storage is essential for providing flexibility, ensuring system reliability, and improving market efficiency. The research addresses three main challenges: designing market-compatible bidding structures for battery storage that reflect operational constraints, developing tailored financial hedge contracts to manage revenue risks in low-volatility markets, and enabling co-optimization of energy and reserve services using advanced optimization and AI-assisted methods.

The project is highly interdisciplinary, combining mathematical modeling, electricity market design, and computational optimization. The doctoral student will collaborate with leading industry partners such as Nord Pool and Fortum, contributing to both theoretical advancements and practical applications. Supervision will be provided by Professors Mohammad Reza Hesamzadeh and György Dán (KTH), Derek Bunn (London Business School), and Darryl Biggar (Monash University), offering a unique opportunity to work with experts from multiple institutions.

Applicants must hold a Master’s degree in Electrical Engineering, Energy Systems, Engineering Physics, Applied Mathematics, Operations Research, or a closely related field. Essential skills include a strong background in mathematical optimization (linear, mixed-integer, or nonconvex), understanding of energy systems and electricity markets, computer programming, and analytical problem-solving. Candidates with backgrounds in mathematics, physics, or computer science and a strong interest in energy systems are encouraged to apply. English proficiency equivalent to English B/6 is mandatory.

Selection criteria emphasize the ability to work independently, collaborate effectively, maintain a professional approach, and analyze complex issues. Experience with stochastic optimization, decomposition methods, large-scale optimization, electricity market design, ancillary services, or flexibility markets is considered advantageous. The position is full-time, temporary, and offers a monthly salary according to KTH’s doctoral student salary agreement, with employment for up to four years and attractive employee benefits.

To apply, candidates must submit a complete application through KTH’s recruitment system, including certified copies of diplomas and grades, proof of language requirements, CV, application letter (maximum 2 pages), and representative publications or technical reports. Applications must be received by the closing date. The position is based in Stockholm, Sweden, and offers a dynamic, creative environment with strong support for professional growth and development. KTH values equality, diversity, and equal opportunities as core principles.

For further information, contact Professors Mohammad Reza Hesamzadeh ([email protected]) or György Dán ([email protected]). The application deadline is June 6, 2026.