Master Thesis, Reinforcement learning at FACTS i Västerås

Om tjänsten

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 www.abb.com/facts.

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.
The task would include:
• Create suitable test networks
• Investigate and develop prototype algorithm based on latest advancements in deep Reinforcement Learning
• Train, tune and test the algorithms on the networks and demonstrate policy optimality

We are looking for you who are studying a university master program within a relevant technical area along with an interest within artificial intelligence or Reinforcement Learning. Experience in Reinforcement Learning or programming is positive. We aim to start the thesis in early September.

Extra information

Status

Stängd

Ort

Västerås

Typ av kontrakt

Heltidsjobb (förstajobb)

Typ av jobb

Produktion / Industri

Körkort önskas

Nej

Tillgång till bil önskas

Nej

Personligt brev krävs

Nej