Postdoctoral Researcher in Computer Vision

Our research and teaching focuses on a better understanding of important processes on the Earth's surface and in the lithosphere. Thereby, field observations are combined with experiments, modelling, and theory.The Engineering Geology group at ETH Zurich (Prof. Jordan Aaron) is seeking a motivated and creative postdoctoral researcher who specializes in computer vision.

The position can commence as early as June 1st, 2025 (negotiable).  The duration of the position is two years, and can be extended depending on performance.

Improving our understanding of the mechanisms that govern landslide behavior is a core research topic in the Engineering Geology group at ETHZ.  As part of this, the group collects and analyses an unprecendented set of field and laboratory datasets.  The collected data includes timelapse point clouds, video imagery, total station and GNSS measurements, as well as climatic data.  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 landslide 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 landslide 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.

• PhD in Data Science, Computer Science, Mechatronics, Remote Sensing, Engineering Geology or other related discipline
• Demonstrated expertise 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 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.