Department of Mathematical Modeling and Machine Learning (DM3L)

Doctoral Candidate 80 - 100 %

Start of employment 01.01.2025, temporary

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.

What we offer

Our employees benefit from a wide range of attractive offers. More

What we offer

Work-Life Balance
  • Flexible working models (such as part-time positions, mobile working, job-sharing)
  • Childcare at the kihz foundation of UZH and ETH


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Learning and Development
  • Wide range of continuing education courses of UZH and the Canton of Zurich
  • Language Center run jointly with ETH Zurich

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Food
  • Food and drinks at reduced prices in the UZH cafeterias
  • Lunch-Check-card with UZH contribution

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Healthcare
  • Special conditions on the Academic Sports Association ASVZ
  • Free seasonal flu vaccinations
  • Rest and relaxation at the quiet room in the university tower

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Discounts
  • Private traffic: Carsharing, rent a vehicle, parking space
  • Digitalization: Hardware, software, mobile phone subscriptions
  • Special conditions on hotel reservations

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Conditions of Employment
  • Policies of the UZH
  • Most UZH staff are employed according to public law


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International Services
  • Support for people from outside Switzerland

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Campuses
  • Campuses Zurich City, Zurich Irchel, Oerlikon and Schlieren
  • Sites Zurich West, Old Botanical Garden, Botanical Garden and Lengg

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Location

Department of Mathematical Modeling and Machine Learning (DM3L)

Further information

Questions about the job

Jan Dirk Wegner Professor
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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!
More → https://www.uzh.ch/cmsssl/en/explore/work.html

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! More
UZH