PhD Position

**Job Description**
This PhD position focuses on designing, developing, and evaluating self-learning energy trading algorithms to address challenges in power markets, particularly the increased volatility and uncertainty stemming from the shift to intermittent energy sources like wind and solar. The project aims to leverage assets such as grid-level battery storage and electrolyzers to enhance flexibility in trading decisions. Developed algorithms will continuously adapt to market dynamics using real-time data to make economically viable trading decisions. The candidate will collaborate with colleagues at the HBE department of the University of Twente and with researchers and energy traders from an industrial partner, including opportunities for regular visits to the partner’s trading floor.

**Skills & Abilities**
• Algorithm design and development
• Data analysis
• Understanding of energy markets and price volatility
• Knowledge of intermittent energy sources (wind, solar)
• Knowledge of grid-level battery storage and electrolyzers
• Expertise in self-learning systems and Artificial Intelligence
• Collaboration and teamwork

**Qualifications**
Required Degree(s) in:
• Master’s degree in a relevant field (e.g., Computer Science, Artificial Intelligence, Electrical Engineering, Energy Systems)

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