PhD Position in Computer Vision Applied to Natural Hazards
ETH Zürich, Switzerland
- Institution
- ETH Zürich
- Country
- Switzerland
- Position type
- PhD
- Subject area
- Computer Science & AI
- Location
- Zurich, Switzerland
- Funding
- Fully funded position
Want to be the strongest applicant for this position?
Book a free 15-minute call with our team. We will look at your profile against what ETH Zürich is actually looking for, and tell you honestly where you stand and what to strengthen before you apply.
Book a free call about this position →No cost, no obligation. Mentors who have secured funded PhD positions themselves.
We mentor STEM applicants only. If your research aspirations are outside STEM subjects, you're very welcome to use this board and apply directly; we just aren't the right people to mentor you.
About this position
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
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
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.
About ETH Zürich
Apply directly to ETH Zürich
Emerging Scholars Council is not the employer and does not recruit for this position. It is advertised by ETH Zürich, and your application goes to them. We help students prepare and strengthen their applications.
Go to the official application page →