Postdoctoral Research Fellow in Optical Flow
Vor 3 Tagen
Karlstad University is seeking a talented postdoctoral researcher to join our research team. The successful candidate will be working on developing advanced algorithms for computer vision, focusing on optical flow and object detection.
About the RoleThe Engineering Geology group at ETH Zurich is seeking a postdoctoral researcher who specializes in computer vision. Our research focuses on understanding landslide behavior using a unique dataset of field and laboratory measurements. The position involves developing advanced algorithms to process this data and interpreting the results to better understand landslide mechanisms.
Key responsibilities include:
- Developing and implementing advanced computer vision algorithms for object detection and optical flow
- Processing large datasets of point clouds and video imagery to derive high-resolution estimates of displacement, velocity, strain, and surface change
- Interpreting results to better understand landslide mechanisms and contributing to the maintenance and upkeep of monitoring systems
- Collaborating with other researchers to develop new research ideas and apply for third-party funding
This is an excellent opportunity to work on cutting-edge research projects and contribute to the advancement of computer vision techniques in geology.
RequirementsTo be eligible for this position, you should have a PhD in Data Science, Computer Science, Mechatronics, Remote Sensing, Engineering Geology, or related disciplines. You should also have demonstrated expertise in machine learning and computer vision algorithms, as well as experience with programming languages such as Python and C++.
A strong publication record and prior experience with point cloud processing are considered assets. Excellent written and oral communication skills in English are also required.
We offer a dynamic and collaborative research environment with opportunities for professional growth and development.
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