PhD Position in Computer Science

Universität Bern


PhD Position in Computer Science
100 %

Institute of Computer Science, Computer Vision Group, University of Bern

Computer Science is the science of representing and processing information, and it lies at the foundation of today's Information Age. By performing research in various ares in computer science, the Institute of Computer Science contributes to the development of one of the most important branches of science in the 21st century. In our Bachelor, Master, and PhD programs we educate the next generation of innovators in computer science. Enjoy your visit on our web pages!

We have opening for 1 PhD position in the areas of machine learning and computer vision. The po-sition is on motion estimation (such as optical flow and structure from motion) via deep learning. Research will be performed in the Computer Vision Group at the University of Bern. The position is immediately available and will be filled as soon as a suitable candidate is found.
Your profile
We are looking for a highly motivated candidate, who is eager to get involved in cutting edge, crea-tive research. You hold a Master of Science in Computer Science, Mathematics or Engineering, with a solid background in machine learning and computer vision. You have excellent skills in ap-plied mathematics, in probability theory, and a programming language (e.g., Python, C/C++). You have a solid background in Deep Learning and you are already a proficient programmer in one of the main Deep Learning libraries (e.g., TensorFlow, PyTorch). We expect fluent communication skills in English.
What we offer
You will be part of a team of academic researchers working on state of the art technologies for ma-chine learning and computer vision. You will have the chance to contribute to and participate in the international research community. We are located in Bern in the core of Switzerland, one of the cities with the highest quality of life worldwide. You will receive a very competitive salary and be given financial support to attend training courses and international conferences.
Application and further information
Applications must be submitted to Prof Paolo Favaro, through the submission website link

Deadline: The submission webpage will be closed as soon as all the position is filled. Applications submitted directly via email will not be considered.

In your application, please refer to


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