About Computer Vision Laboratory

CVL is a vibrant research environment with four faculty members, five researchers, eighteen PhD students, and several adjunct researchers. CVL conducts research and education in machine learning for computer vision at the undergraduate, advanced, and PhD levels. CVL has been identified as outstanding Swedish research environment within AI in Vinnova’s report 2018 and LiU is Sweden's strongest university in AI according to Vinnova’s report 2024. We have ongoing research activities within WASP (Wallenberg AI, Autonomous Systems, and Software Program), ELLIIT (Excellence center) and LiU's profile area VDF (Visual digital futures). For further details, see https://liu.se/organisation/liu/isy/cvl.

CVL consists of the following research units:

• 3D Geometry
• 3D Motion
• Remote Sensing
• Visual Learning Theory
• Visual Perception

Researchers and academic staff at Swedish universities retain the rights to their own research results, even when these are patentable. This system is known as the “teachers’ exemption” (Lärarundantaget) and differs from the system at universities in other countries.

CVL is seeking an Assistant Professor in Machine Learning with a focus on Motion Analysis from Video

As an Assistant Professor, you will work on cutting-edge research and development of methods and mathematical tools aimed at better understanding motion analysis of humans and animals in 3D from video data. You will also explore application areas within health and life science, security, and digital forensics.

Join us and contribute to our dynamic team, participate in seminars and workshops, and collaborate on exciting research projects. You will have the opportunity to lead your own research unit, engage in WASP’s graduate school, and attract external research funding. Be part of a team that is shaping the future of AI and machine learning. Apply now and help us advance the field of computer vision!

Apply no later than May 12! You can read more about the position, requirements and application procedure on LiU’s official opening.

Note: Do not apply over email! We can only consider applications made through the above link.