The goal of the position is to create prediction methods for proactive planning of future robot actions and to design robot acting mechanisms for adaptive response ranging from quick and intuitive to slower well-reasoned. We combine sensing across multiple modalities with learned knowledge to predict outcomes and choose the best actions. The goal is to transfer these skills to human-robot interaction in home scenarios, including the support of everyday tasks and physical rehabilitation. Thus, it is relevant to work with implementation and research within robot perception and control for the robot tasks. User studies through human-robot interaction experiments are to be performed. A PhD fellow and a researcher are already hired for the project and will complement in performing the above outlined research.
The position is a part of the research project Predictive and Intuitive Robot companion (PIRC) funded by the Research Council of Norway. The project is affiliated with RITMO Centre for Interdisciplinary Studies in Rhythm, Time and Motion at the University of Oslo (see https://www.uio.no/ritmo/english/projects/pirc/ and https://www.uio.no/ritmo/english ).
The fellowship is a full-time position with a fixed-term period of three years, with a preferred start date 1 February 2023. However, there is an option for extension of the employment period by one year depending on background and qualifications for contributing to teaching and supervision. We have several international collaborators and having a stay of up to 6 months with one of these can be relevant. The University of Oslo is Norway’s oldest and highest rated institution of research and education with 28 000 students and 7500 employees.
Qualifications: Applicants must have a PhD degree or other corresponding education equivalent to a Norwegian doctoral degree in computer science, robotics, or other relevant field. Thus, applicants should have a strong background in programming, as well as machine learning/deep learning and robotics. Skills in human activity recognition, working with different types of real-world sensor data, multimodal sensor data processing/classification, addressing ethical challenges, perception and control are considered advantageous. A number of partners are involved in the project so collaboration skills would also be assessed.
Pay grade (depending on qualifications and seniority):
NOK 544 400 – 626 300 per year, approx.: € or $ 53,373 – 61,402
Deadline for applications: 9 January, 2023
Applications are to be submitted through a web page and NOT by e-mail.
Contact for more information: Prof. Jim Torresen E-mail: [email protected]