PhD Position

**Job Description**
This Ph.D. position focuses on designing next-generation decision-support tools for battery operators, specifically for participation in multiple consecutive short-term electricity markets and congestion management. The research involves developing state-of-the-art model predictive control tools, exploring hedging decisions with battery model uncertainty using distributionally robust chance constrained optimization, and integrating data-driven models for state-of-health and degradation. The project also investigates the integration of local connection capacity markets and novel connection agreements into the decision support framework.

**Skills & Abilities**
• Strong quantitative and analytical skills.
• Very good written and spoken communication skills in English.
• Programming experience in Julia, Python, or a similar language (bonus).
• Taken courses in Operations Research or Model Predictive Control (bonus).
• Prior research experience, especially in energy system/market modelling or other energy-related research (bonus).

**Qualifications**
Required Degree(s) in:
• Science
• Engineering
• Economics

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