Two Postdoctoral Fellowships in Robot Sensing for Elderly Care at the University of Oslo

Two fully-funded postdoc positions are available in the Robotics and Intelligent Systems group at the University of Oslo, Norway (http://www.mn.uio.no/ifi/english/research/groups/r... ).
The goal of the postdoc projects are extending the capabilities of robot companions (in sensing, learning and prediction of future events) to be applied in elderly care at home. It is a part of the Research Council of Norway funded project Multimodal Elderly Care Systems (MECS) aiming at making progress on equipping robot companions with complementary sensor systems to sense the state of elderly at home. Further, by modeling normal behavior and state of the human, we want to explore the possibility for predicting future non-normal behavior and events. This would be undertaken by an autonomous mobile robot compromising between privacy of the human and quality of the measurements. One candidate is planned to be focusing on the sensing part while the other candidate is planned to be working with behavior modeling and prediction. They will both be collaborating with a fellow specializing in user-oriented design methods for the robots.
The fellowships will be for a period of 3 years, possibly with an option for extension of the employment period by 4 months depending background and qualifications for additional duty work which typically includes work on courses. We have several international collaborators and having a stay of up to 6 months with one of these could be possible. The University of Oslo is Norway’s oldest and highest rated institution of research and education with 28 000 students and 7000 employees.
Qualifications: Applicants must hold a Master’s degree and a PhD degree in computer science including robotics and machine learning/artificial intelligence (other degrees would be considered if qualifications match). Thus, applicants should have a strong background in programming and robotics and have knowledge about machine learning. Moreover, knowledge in the fields of motion tracking and analysis, sensor data analysis, biology-inspired techniques, rapid prototyping, simulation, and behavior modeling would be an advantage.
Pay grade (depending on qualifications and seniority): NOK 512 700 ? 567 100 per year, approx.: ?55,100 − 61,000 / $61,700 − 68,300
Full announcement: http://uio.easycruit.com/vacancy/1673835/64290?iso...
Closing date for applications: 10th August, 2016
Contact for more information: Prof. Jim Torresen E-mail: jimtoer-AT-ifi.uio.no