PhD Position in Computer Vision Applied to Natural Hazards
📋 Détails de l'offre
ETH Zurich recherche un doctorant en vision par ordinateur.
Tâches
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Étudier les mécanismes des flux de débris en utilisant des données.
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Développer des algorithmes avancés pour traiter les données collectées.
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Contribuer à l'enseignement et à la recherche au sein du groupe.
Compétences
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Master en vision par ordinateur ou domaine connexe requis.
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Expertise en apprentissage automatique et vision par ordinateur.
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Compétences en communication orale et écrite en anglais.
PhD Position in Computer Vision Applied to Natural Hazards
Eidgenossische Technische Hochschule Zürich, ETHZ
Workplace
Zurich
- Zurich region - Switzerland
Category
Computer Science | Environment
Position
Junior Researcher / PhD Position
Published
28 May 2026
Closing Date
1 July 2026
PhD Position in Computer Vision Applied to Natural Hazards
100%, Zurich, fixed-term
The Engineering Geology group at ETH Zurich (Prof. Jordan Aaron) is seeking a motivated and creative doctoral student who specializes in computer vision. The position can commence as early as September 1st, 2026 (negotiable), and is fully funded for four years.
Job description
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Improving our understanding of the mechanisms that govern debris flow motion is a core research topic in the Chair of Engineering Geology at ETHZ
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As part of this, the group collects and analyses an unprecendented set of field datasets
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The collected data includes timelapse point clouds, video imagery, as well as auxilary data including environmental parameter timeseries
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This data is then processed to derive high temporal and spatial resolution estimates of displacement, velocity, strain and surface change, as well as the driving mechanisms
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A large foundational dataset has already been collected, and presents a unique opportunity for making new insights into debris-flow processes
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You will develop advanced algorithms to process this data, with a focus on optical flow and object detection
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You will interpret the results to better understand debris flow mechanisms
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You will also contribute to the maintenance and upkeep of the monitoring systems
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Additionally, you will be given signficiant support to develop your own research ideas and apply for third party funding
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Contributions to teaching within the Engineering Geology group are also expected
Profile
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Masters degree in Computer Vision, Data Science, Computer Science, Mechatronics, Remote Sensing, Engineering Geology or other related discipline
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Demonstrated expertise and interest in machine learning and computer vision algorithms is necessary, with an emphasis on object tracking, optical flow and sensor fusion
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Knowledge of rock mechanics, soil mechanics and/or landslide processes is considered beneficial
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Prior background with point cloud processing is an asset
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Ability to work independently
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Strong written and oral communication skills in English
Workplace
We offer
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We are an enthusiastic and collaborative research group with many opportunities for multi-disciplinary cutting edge research in engineering geology
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There are significant opportunities to broaden your research interests, and develop your academic career
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Your job with impact: Become part of ETH Zurich, which not only supports your professional development, but also actively contributes to positive change in society
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You can expect numerous benefits , such as public transport season tickets and car sharing, a wide range of sports offered by the ASVZ , childcare and attractive pension benefits
Working, teaching and research at ETH Zurich
We value diversity and sustainability
In line with our values , ETH Zurich encourages an inclusive culture. We promote equality of opportunity, value diversity and nurture a working and learning environment in which the rights and dignity of all our staff and students are respected. Visit our Equal Opportunities and Diversity website to find out how we ensure a fair and open environment that allows everyone to grow and flourish. Sustainability is a core value for us - we are consistently working towards a climate-neutral future .
Curious? So are we.
We look forward to receiving your online application until 1 July 2026 with the following documents:
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Brief cover letter summarizing your motivation for applying for the position
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Your academic CV
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Contact details of two references (no need for reference letters)
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Transcripts
Further information about the Gelogical Institute can be found on our Website . Questions regarding the position should be directed to Prof. Jordan Aaron, jordan.aaron@
eaps.ethz.ch (no applications).
Please note that we exclusively accept applications submitted through our online application portal. Applications via email or postal services will not be considered.
Apply online now
ETH Zurich is one of the world’s leading universities specialising in science and technology. We are renowned for our excellent education, cutting-edge fundamental research and direct transfer of new knowledge into society. Over 30,000 people from more than 120 countries find our university to be a place that promotes independent thinking and an environment that inspires excellence. Located in the heart of Europe, yet forging connections all over the world, we work together to develop solutions for the global challenges of today and tomorrow.
More information
In your application, please refer to
myScience.ch
and reference
JobID69894
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🏢 À propos de l'entreprise
Entreprise dans le secteur Industries (autres industries)