Introduction

Are you interested in tackling one of the most urgent challenges of the energy transition and pushing the boundaries of AI integrated distributed optimization for largescale energy networks? As a PhD candidate, you will help design AIdriven control algorithms that allow thousands of distributed energy resources to coordinate locally while ensuring the grid remains stable, efficient, and fair. You will explore probabilistic curtailment policies, develop scalable multiagent decisionmaking methods, and work with realworld data to create solutions that can be deployed in tomorrows electricity systems. This position offers a unique opportunity to shape both cuttingedge theory and real societal impact.

Job Description

The rapid growth of Distributed Energy Resources (DERs), such as rooftop photovoltaics (PV) is transforming electricity distribution networks. While essential for decarbonization, this transition create...