Doctoral Candidate in computer vision and machine learning - analysis of green spaces and nature

Your responsibilities The successful candidate will work on a project in the EcoVision Lab in cooperation with a large project consortium to build a Public Data Lab for measuring societal wellbeing under changing circumstances together with more partners from the University of Zurich, the Statistical Office of the Canton of Zurich, and the Zurich University of the Arts. Emphasis for the doctoral project is on developing deep learning and computer vision methods to jointly analyse street-view and depth imagery, aerial and terrrestrial laser scans, satellite imagery etc. in combination with auxiliary map layers provided by the project partners, cantonal and federal Swiss agencies to come up with dense, high-resolution, spatially explicit indicators of green spaces with emphasis on societal and environmental well-being. Potential indicator domains include biomass, vegetation density, plant species, plant health etc. while project leaves ample room to explore various exciting technical avenues like uncertainty quantification, interpretability, and explainability in deep neural networks, attention-based approaches, text-to-image/point cloud translation, or diffusion models, for example. Your profile We are looking for candidates with an interest in performing innovative research, strong motivation, and an interest in software development. An ideal candidate will have: an excellent degree (M.Sc. or equivalent) in Computer Science, Machine Learning, or a related field (e.g. Electrical Engineering, Applied Mathematics) strong mathematical understanding experience in programming, preferably in Python, and engineering prior experience in machine learning, computer vision and remote sensing Furthermore, the candidate should be fluent in English, both written and spoken. What we offer Our employees benefit from a wide range of attractive offers. More Location Department of Mathematical Modeling and Machine Learning (DM3L) Information on your application Please submit your complete application (motivation letter, curriculum vitae, school and university score records, contact details of at least two referees) via the link. The deadline for applications is 31st of October 2025 and the desired starting date is early 2026. Selection will start immediately, so early submissions are encouraged. Further information Questions about the job Prof. Jan Dirk Wegner Professor jandirk.wegner@uzh.ch Working at UZH The University of Zurich, Switzerland\’s largest university, offers a range of attractive positions in various subject areas and professional fields. With around 10,000 employees and currently 12 professional apprenticeship streams the University offers an inspiring working environment on cutting-edge research and top-class education. Put your talent and skills to work with us. Find out more about UZH as an employer! j4id9895326a j4it1042a j4iy25a