University of Bern is looking for 3 PhD positions in the areas of machine learning and computer vision. One position is on motion estimation tasks (such as optical flow and structure from motion) via deep learning. The other two positions are on unsupervised learning methods for image processing also based on deep learning. Research objectives include the development and analysis of generative models for images and videos, and the development of novel machine learning methods. Research will be performed in the Computer Vision Group at the University of Bern.
One PhD candidate will create a library of food components with suitable functional properties for robotic food applications, and studying methods to obtain those components from raw materials. For example, food materials that show responses to electrical, chemical, or thermal stimulations will be investigated. The second PhD candidate will focus on assembling food components into functional parts of the edible robots, and on assessing the nutritional profile and life cycle of the robots.
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