Professor / Assistant Professor (Tenure Track) of Computer Vision

The Department of Information Technology and Electrical Engineering (www.ee.ethz.ch) at ETH Zurich invites applications for the above-mentioned position.

The new professor is expected to focus on fundamental research in computer vision. Potential focus areas include but are not limited to embodied visual intelligence, advanced machine learning algorithms for computer vision, human perception inspired vision models, and novel hardware-software interfaces for visual perception. Moreover, the research can extend into various applications, encompassing biomedical, autonomous driving, robotics, and advanced sensors. The ideal candidate also establishes synergies with other research areas in the Department of Information Technology and Electrical Engineering and more broadly at ETH Zürich.

The successful candidate must be committed to innovative and engaging teaching in both fundamental undergraduate-level courses and advanced graduate-level courses in the areas of computer vision and machine learning. At ETH Zürich, undergraduate-level courses are taught in German or English, and graduate-level courses are taught in English. The ability to lead a research group is expected.

Assistant professorships have been established to promote the careers of younger scien­tists. ETH Zurich implements a tenure track system equivalent to that of other top international universities.

ETH Zurich is an equal opportunity and family-friendly employer, values diversity, and is responsive to the needs of dual-career couples.

Please apply online: www.facultyaffairs.ethz.ch

Applications should include a curriculum vitae, a list of publications and projects, a statement of future research and teaching interests, a description of the leadership philosophy, three key publications, a description of the three most important achievements, and a certificate of the highest degree. The letter of application should be addressed to the President of ETH Zurich, Prof. Dr. Joël Mesot. The closing date for applications is 15 May 2025.