[Jobs] Full-time post-doc position (2 years) in machine learning in Sweden
Johannes A. Stork
Dear all,
Örebro University currently has an open full-time post-doctoral researcher position (2 years) in a new research group for machine learning. The position is hosted at the Center for Applied Autonomous Sensor Systems (AASS) and affiliated to the Autonomous Mobile Manipulation lab (AMM).
We offer the opportunity to work on current and relevant problems in machine learning and robotics. The focus is on the development of methods for (direction 1) continual learning and dataset shift with efficient and interpretable models or (direction 2) reinforcement learning with continual adaptation and dataset shift (e.g. meta and transfer learning approaches). Prior knowledge, experience, and interest in (direction 1) probabilistic machine learning, statistical learning, Gaussian Process, or (direction 2) reinforcement learning in continuous spaces, deep learning, and robotic perception and control are advantageous for this position.
The ideal candidate is expected to:
- have or be within reach of a doctoral degree in a subject matter relevant for the position
- demonstrate a strong background in computer science, machine learning, or robotics
- be motivated and capable to undertake research at an international level
- have a strong mathematical background
- have prior research experience in the areas of machine learning
- have a track record of high-quality publications in the areas of machine learning or robotics
- have excellent programming skills
- have excellent communication skills in English
The basis for assessment is the applicant’s scientific expertise, skill, and knowledge in the subject matter. Particular attention is paid to the applicant’s prospects to contribute to research and the ability and suitability to collaborate with other members of the research environment. Women and people of underrepresented minority groups are strongly encouraged to apply.
The position is funded through the Wallenberg AI, Autonomous Systems, and Software Program (WASP) and is not tied to a particular research project. It therefore provides a large degree of freedom to the appointed post-doctoral researcher. Research in this project will be performed in close collaboration with doctoral students and post-doctoral researchers in the same research environment, as well as external collaborators.
About the research center: https://www.oru.se/aass
About the lab: https://amm.aass.oru.se/
About WASP: https://wasp-sweden.org/
Interested applicants are directed to https://www.oru.se/jointheAIteam for more information and to use the online application system. Applications by e-mail are not processed.
-- J.A. Stork
todor.dimit...@gmail.com
We offer the opportunity to work on current and relevant problems in machine learning and robotics. The focus is on the development of methods for (direction 1) continual learning and dataset shift with efficient and interpretable models or (direction 2) reinforcement learning with continual adaptation and dataset shift (e.g. meta and transfer learning approaches). Prior knowledge, experience, and interest in (direction 1) probabilistic machine learning, statistical learning, Gaussian Process, or (direction 2) reinforcement learning in continuous spaces, deep learning, and robotic perception and control are advantageous for this position.
The ideal candidate is expected to:
- have or be within reach of a doctoral degree in a subject matter relevant for the position
- demonstrate a strong background in computer science, machine learning, or robotics
- be motivated and capable to undertake research at an international level
- have a strong mathematical background
- have prior research experience in the areas of machine learning
- have a track record of high-quality publications in the areas of machine learning or robotics
- have excellent programming skills
- have excellent communication skills in English
About the research center: https://www.oru.se/aass
About the lab: https://amm.aass.oru.se/
About WASP: https://wasp-sweden.org/
Interested applicants are directed to https://www.oru.se/jointheAIteam for more information and to use the online application system. Applications by e-mail are not processed.
Best,
Todor