2 PhD Candidates, Reinforcement Learning for Sustainable Energy

These positions are embedded in the Reinforcement Learning Lab for Sustainable Energy, a cooperation between Leiden University and an industrial partner. The global energy transition is one of the key challenges that our world faces. At the same time, reinforcement learning is a key technology in artificial intelligence and machine learning that set various state-of-the-art results. In the Reinforcement Learning Lab for Sustainable Energy, researchers from academia and industry develop, implement and evaluate new deep reinforcement learning methodology to solve sustainable energy challenges.

There are two open positions: one with a more applied touch, where you will focus on real-world data and sustainability challenges, and one more theoretical/algorithmic position, where the focus will lie on novel reinforcement learning methodology.