[robotics-worldwide] [jobs] postdoc in machine learning for rhythmic motion in robotic systems

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[robotics-worldwide] [jobs] postdoc in machine learning for rhythmic motion in robotic systems

Postdoctoral Research Fellowship in machine learning for robotics, at the Department of Informatics, University of Oslo.

The postdoc will carry out research on machine learning / model generation for motion in robotic systems, we are in particular interested in aspects of rhythmic behavior and how this could be beneficial for locomotion and interaction tasks. Taking inspiration from principles found in nature and the human brain would be relevant. The work can range from more theoretical development and testing in simulation, to more practical application on real robots and robotic prototypes. The precise focus of the project will be decided jointly with the postdoctoral candidate and the supervisor.

The candidate will have the opportunity to collaborate with the highly interdisciplinary network in the RITMO Centre of Excellence, including experts in cognitive neuroscience and music, and robotics researchers in the Robotics and Intelligent Systems group at the Department of Informatics. State-of-the-art prototyping and motion capture facilities will be available. The compulsory work load will include contributing to joint machine learning activities at the Department of Informatics, as well as teaching and supervision tasks.

Closing date for applications: 15 April 2018.

Depending on the candidate and the teaching needs of the department, the fellowship period will be for either 3 or 4 years with a compulsory work load of up to 25%.
Starting date: no later than 1 October 2018.
Salary NOK 490 900 - 569 000 per annum depending on qualifications.

Find the full announcement, qualification requirements, and application information at:

Contact for more information: Kyrre Glette ([hidden email]).

Kyrre Glette
Associate Professor
Robotics and Intelligent Systems group, Department of Informatics
RITMO Centre for Interdisciplinary Studies in Rhythm, Time and Motion
University of Oslo

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