Postdoctoral Researcher in Computer Vision
vor 4 Wochen
ETH Zürich is well known for its excellent education, ground-breaking fundamental research and for implementing its results directly into practice.
About the RoleOur research and teaching focuses on a better understanding of important processes on the Earth's surface and in the lithosphere. 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. The group collects and analyses an unprecedented set of field and laboratory datasets, including timelapse point clouds, video imagery, total station and GNSS measurements, as well as climatic data. This data is 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, presenting a unique opportunity for making new insights into landslide processes.
You will develop advanced algorithms to process this data, focusing on optical flow and object detection. You will interpret the results to better understand landslide mechanisms and contribute to the maintenance and upkeep of the monitoring systems. Additionally, you will receive 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- PhD in Data Science, Computer Science, Mechatronics, Remote Sensing, Engineering Geology, or other related disciplines
- 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.
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.
Application ProcessWe look forward to receiving your online application by March 14 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
Please note that we exclusively accept applications submitted through our online application portal. Applications via email or postal services will not be considered.
Questions regarding the position should be directed to Prof. Jordan Aaron at jordan.aaron@eaps.ethz.ch.
About ETH ZurichETH Zurich is one of the world’s leading universities specializing 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.
Job DetailsTitle: Postdoctoral Researcher in Computer Vision
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