Örebro University has an open position for a highly-motivated PhD student interested in working on Reinforcement Learning (RL) for manipulation. The position is offered for a period of four years and is fully funded through the Wallenberg Autonomous Systems and Software Program in Artificial Intelligence (WASP-AI).
About the project:
The PhD position is associated with a WASP-AI collaborative project between Örebro University and Lund university. The PhD student employed at Örebro University will work on reinforcement learning in continuous action spaces. The primary goal of this thesis will be to include background knowledge and symbolic / semantic / task-specific information into the RL problem. The student will collaborate with a second PhD student employed at Lund University in order to extract relevant domain knowledge from interaction with a human operator, and subsequently encode this knowledge and use it to guide policy search for manipulation planning. In addition to research duties, the PhD student is expected to participate in PhD courses organized by the WASP-AI initiative, as well as to take part in teaching and supervision of undergraduate students. Teaching duties are funded by the University and can result in contract prolongation. The PhD position is offered under the supervision of Todor Stoyanov and Johannes Andreas Stork.
Students with a completed MSc in computer science, machine learning, control theory, or a closely related discipline are encouraged to apply. Students who are in the process of writing their MSc thesis will also be given full consideration.
Applications are accepted immediately, and will be evaluated until the position is filled.
Please submit all required documents through our online application system:
The PhD student will be employed on a four year contract, with full social and health benefits, as well as paid vacation (typically 28 days). The starting salary is expected to be 28 500 SEK / month.
The expected employment start date is flexible, with a tentative start in spring 2019.