PhD Position in Representation Learning and Reinforcement Learning at RPL, KTH Royal Institute of Technology

The Robotics, Perception and Learning Division at KTH Royal Institute of Technology is offering a PhD position in the field of representation learning and reinforcement learning. The project aims to investigate the application of learning methods to efficiently adapt multimodal representation models with potential applications to real-world physical systems. The successful candidate will work under the supervision of Danica Kragic, Miguel Vasco, and Petra Poklukar.

To apply for this position, candidates must have a master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field. They should also have a strong theoretical and practical background in representation learning and reinforcement learning, proficiency in programming languages such as Python, and familiarity with AI frameworks like PyTorch, Tensorflow, and/or JAX. Fluency in English is also required.

Interested candidates should submit their application through the KTH website and send their application as a single pdf with the subject ‘Application PhD position J-2024-1194-1’ to miguelsv@kth.se. The application should include a cover letter, one or more recommendation letters, a CV with a list of publications or thesis/reports, and certified study/graduation certificates.

The deadline for applications is June 6, 2024. For more information about the position, please refer to this link or contact Miguel Vasco at miguelsv@kth.se.