|Title: Tenure-track Associate Professor in computer vision||Posted: November 21, 2018|
|Company/Institution: Norwegian University of Science and Technology (NTNU)|
|Location: Gjøvik, Norway|
|Department: Department of Computer Science|
Description: We have a vacancy for a Tenure-track Associate Professor in Computer Vision at the Department of Computer Science, Gjøvik.
The associate professor is expected to carry out research in the field of computer vision, and have a specific focus on color in computer vision. In addition, research in computer vision linked with one of the following areas is advantage: color imaging, machine learning, computer graphics or GPU programming. The research should have a long-term perspective according to the strategy of the department and contribute to the current group research.
The candidate is expected to play a major role in be teaching and supervision in computer science. The candidate for the position will primarily support the Bachelor in Engineering - Computer Science. The associate professor will play a role in developing the educational profile in the computer science programs and ensuring an excellent learning environment, in collaboration with colleagues, students, and external stakeholders. The faculty’s study programs should have a strong international profile, and the associate professor is expected to be able to contribute to the development of international alliances and collaboration.
During the tenure track period of six years, the successful applicant will be given professional guidance, training, and advice by mentors appointed by the department to build a successful academic career. The applicant will be subject to a mid-career assessment after three years, and a final tenure assessment after no more than six years. It is expected that the applicant will qualify for a full professorship at the end of the tenure-track period.
Application Instructions: Applications are submitted using https://www.jobbnorge.no/en/available-jobs/job/160740/tenure-track-associate-professor-in-computer-vision