Your responsibilitiesThe 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 profileWe 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 (. or equivalent) in Computer Science, Machine Learning, or a related field (e.g. Electrical Engineering, Applied Mathematics)strong mathematical understandingexperience in programming, preferably in Python, and engineeringprior experience in machine learning, computer vision and remote sensingFurthermore, the candidate should be fluent in English, both written and spoken.What we offerOur employees benefit from a wide range of attractive offers. More LocationDepartment of Mathematical Modeling and Machine Learning (DM3L)Information on your applicationPlease 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 Octoberand the desired starting date is earlySelection will start immediately, so early submissions are encouraged.Further informationQuestions about the jobProf. Jan Dirk WegnerProfessorWorking at UZHThe 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! jid2f47806a jit1144a jiy25a