项目介绍

2024年10月15日

The EcoVision Lab in the Department of Mathematical Modeling and Machine Learning (DM3L) at University of Zurich is seeking applications for a Doctoral Candidate in computer vision and machine learning for satellite-based monitoring of armed conflicts.

We offer an exciting and stimulating environment to study and work in. The University of Zurich has several internationally recognized research groups dedicated to data science, machine learning and remote sensing. We also collaborate with several other institutions and companies in the fields of computer vision, machine learning and earth observation, in Switzerland and abroad. The EcoVision Lab is member of the UZH Digital Society Initiative, the ETH AI Center, the new UN-ETH partnership, and the ETH for Development Center (ETH4D).

Your responsibilities

The successful candidate will work on a project in the EcoVision Lab in cooperation with the ICRC, aiming to develop a deep learning approach for monitoring armed conflicts at country-scale using dense time series of SAR satellite imagery.

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 software engineering
• prior experience in machine learning, computer vision and remote sensing

Furthermore, the candidate should be fluent in English, both written and spoken.

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 below. The deadline for applications is 17 November 2024 and the desired starting date is 1 January 2025. Selection will start immediately, so early submissions are encouraged.

Further information

Questions about the job

Jan Dirk WegnerProfessor