PhD Position in Computer Vision Applied to Natural Hazards The Engineering Geology group at ETH Zurich (Prof. Jordan Aaron) is seeking a motivated and creative doctoral student who specialises in computer vision. The position can commence as early as September 1st, 2026 (negotiable) and is fully funded for four years.
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 unprecedented set of field datasets
The collected data includes timelapse point clouds, video imagery, as well as auxiliary 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 significant 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 multidisciplinary 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
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.
#J-18808-Ljbffr
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 unprecedented set of field datasets
The collected data includes timelapse point clouds, video imagery, as well as auxiliary 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 significant 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 multidisciplinary 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
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.
#J-18808-Ljbffr
PhD Position in Computer Vision Applied to Natural Hazards Arbeitgeber: Eidgenössische Technische Hochschule Zürich
Als Software Research & Development Engineer bei ETH Zürich profitieren Sie von einer inspirierenden und kollaborativen Arbeitsumgebung in einer weltweit anerkannten Forschungseinrichtung. Wir bieten spannende Herausforderungen, vielfältige Projekte und die Möglichkeit, Ihre Fähigkeiten weiterzuentwickeln, während Sie an der Schnittstelle zwischen Forschung, Technik und Betrieb arbeiten. Unsere Kultur fördert Vielfalt und Inklusion, und wir setzen uns aktiv für eine nachhaltige Zukunft ein.
Kontaktdaten:
Eidgenössische Technische Hochschule Zürich Recruiting-Team
