DTU Compute
PhD scholarship in AI Agents in Electricity Markets: Equilibria, Multi-agent Learning Dynamics, and Optimal Market Design - DTU Compute
Kongens Lyngby, DanmarkPosted 1 day ago
Full TimeMidDK
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Job Description
Are you interested in working at the intersection of optimal control, AI algorithms, and game theory, on problems that matter for real-world critical infrastructure? This PhD position offers the oppor
Key Highlights
- Model AI-driven learning dynamics in electricity markets
- Analyze equilibria in terms of safety and learnability
- Develop algorithms to detect and characterize harmful market outcomes
- Design, test, and optimize market rules that steer multi-agent learning dynamics
- Combine theoretical analysis with numerical experiments
Skills & Technologies
PythonMachine Learning
About the Company
DTU Compute
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Job Details
Employment Type
Full Time
Experience Level
Mid
Location
Kongens Lyngby, Danmark
Posted
1 day ago
Country
DK