Stillingstittel:
PhD Research Fellowship in Robotics and Intelligent Systems (2016/3439)

Stillingsbeskrivelse:
The University of Oslo is Norway’s largest institution of research and education with 28 000 students and 7000 employees. Its broad range of academic disciplines and internationally esteemed research communities make UiO an important contributor to society.

One position as PhD Research fellow is available at the Robotics and Intelligent Systems (ROBIN) group at the Department of Informatics, University of Oslo, Norway (Norway's largest university department for education and research in Computer Science and related topics, see http://www.mn.uio.no/ifi/english), as a part of the Research Council of Norway funded project Multimodal Elderly Care Systems (MECS). The project aims at working with extending the capabilities of robot companions (in sensing, learning and prediction of future events) to be applied in elderly care at home.

The fellowship 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 (lecturing, preparation and organizing of exercises etc). No one can be appointed for more than one fixed-term period at the same institution. We also have a number of international collaborators and having a stay of up to 6 months with one of these could be possible. The starting date is no later than 20 August 2016.

Project description

The Robotics and Intelligent Systems research group focus on adaptive systems research often including biologically inspired methods. We target to apply these methods within robotics, programmable logic and applications like active music. We are interested in studying human and robotic motion using motion capture analysis and apply this knowledge in designing adaptive robotic or computing systems. We do rapid prototyping of robots with 3D-printers and milling machines.

In this project we are interested in making progress on equipping robot companions with complementary sensor systems to be able to sense the state of humans and their environment. 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. The candidate is planned to either be focusing on the sensing part or be working with behavior modeling and prediction. The candidate will be collaborating with a research fellow working in the other area and another research fellow specializing in user-oriented design methods for the robots.

Qualifications

The Faculty of Mathematics and Natural Sciences has a strategic ambition of being a leading research faculty. Candidates for this fellowship will be selected in accordance with this, and expected to be in the upper segment of their class with respect to academic credentials.

Applicants must hold a Master's degree or equivalent 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. The candidates should have experience with practical work as we expect the project to be working with testing and modifying robots for improved performance in their environment. In the application, please briefly describe the relevance of the Master´s thesis work and other project work relevant for the position. Plea

Minstelønn: 0

Maksimal lønn: 0

Arbeidsgiver Navn: Universitetet i Oslo, Department of Info

Arbeidsgiver adresse: 0313 OSLO

Job kort beskrivelse: Software developers

Land: Norge

Region: Oslo

Kilde til jobbtilbud: NAV, Offentlige arbeidsformidlinger, Norge

Lønn valuta: NOK

Lønn periode: Pr. år