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PhD Position in Computer Vision Applied to Natural Hazards

ETH Zürich -
Zürich, ZH

Jetzt bewerben

Details zur Stelle

100%
vor 6 Tagen

Qualifikationen

Englisch
Master
Kommunikationsfähigkeit
Sensoren
Mechanikkenntnisse

Vollständige Stellenbeschreibung

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

Improving our understanding of the mechanisms that govern debris flow motion is a core research topic in the Chair of Engineering Geology at ETHZ
As part of this, the group collects and analyses an unprecendented set of field datasets
The collected data includes timelapse point clouds, video imagery, as well as auxilary data including environmental parameter timeseries
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
A large foundational dataset has already been collected, and presents a unique opportunity for making new insights into debris-flow processes
You will develop advanced algorithms to process this data, with a focus on optical flow and object detection
You will interpret the results to better understand debris flow mechanisms
You will also contribute to the maintenance and upkeep of the monitoring systems
Additionally, you will be given signficiant support to develop your own research ideas and apply for third party funding
Contributions to teaching within the Engineering Geology group are also expected

Profile

Masters degree in Computer Vision, Data Science, Computer Science, Mechatronics, Remote Sensing, Engineering Geology or other related discipline
Demonstrated expertise and interest in machine learning and computer vision algorithms is necessary, with an emphasis on object tracking, optical flow and sensor fusion
Knowledge of rock mechanics, soil mechanics and/or landslide processes is considered beneficial
Prior experience with point cloud processing is an asset
Ability to work independently
Strong written and oral communication skills in English

Workplace

We offer

We are an enthusiastic and collaborative research group with many opportunities for multi-disciplinary cutting edge research in engineering geology
There are significant opportunities to broaden your research interests, and develop your academic career
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
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

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:

Brief cover letter summarizing your motivation for applying for the position
Your academic CV
Contact details of two references (no need for reference letters)
Transcripts

Further information about the Gelogical Institute can be found on our Website. Questions regarding the position should be directed to Prof. Jordan Aaron, [email protected] (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.

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PhD Position in Computer Vision Applied to Natural Hazards

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100%, Zurich, fixed-term

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