Assistant professor in Computer Vision and Machine Learning

KTH Royal Institute of Technology in Stockholm is the largest and oldest technical university in Sweden. No less than one-third of Sweden’s technical research and engineering education capacity at university level is provided by KTH. Education and research spans from natural sciences to all branches of engineering and includes Architecture, Industrial Management and Urban Planning. There are a total of 12,400 full year students at first and second levels, almost 1,900 active (at least 50 per cent) research students and 5,100 employees.For information about the School of Computer Science and Communication, please visit https://www.kth.se/en/csc. Your work will take place at the department of CVAP – Computer Vision and Active Perception Lab. For  more information go to https://www.kth.se/en/csc/forskning/cvap. Subject fieldComputer Vision and Machine Learning Subject descriptionComputer Vision is a part of computer…


Link to Full Article: Assistant professor in Computer Vision and Machine Learning