Master Thesis, FACTS and Reinforcement Learning i Västerås

Join ABB and work in a team that is dedicated to creating a future where innovative digital technologies allow greater access to cleaner energy.

You will be part of the Business Unit Grid Integration, located in Västerås. FACTS (Flexible Alternating Current Transmission Systems) technologies provide more power and control in existing AC as well as green-field networks and have minimal environmental impact. With a complete portfolio and in-house manufacturing of key components, ABB is a reliable partner in shaping the grid of the future. Please find out more about our world leading technology at .

At FACTS you will aid in creating a more sustainable future. The increase of available measurements, growth of real time processing capacity and communication abilities is changing the opportunities in the power system landscape. There is a potential to utilize more measurement data, Reinforcement Learning and a FACTS device for optimization purposes.

• Creating suitable test networks
• Investigating and developing prototype algorithm based on latest advancements in deep Reinforcement Learning
• Training, tuning and testing the algorithms on the networks and demonstrating policy optimality

• You are studying a university master program within a relevant technical area
• Interest within artificial intelligence or Reinforcement Learning
• Experience in Reinforcement Learning or programming is positive
• We aim to start the thesis in early January