PhD Positions in Machine Learning and Computer Vision

Deadline: This submission webpage will be closed as soon as all the positions are filled.


We have an opening for a PhD position in the areas of machine learning and computer vision. The position 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, creative 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 applied 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 machine 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 include the following documents (file size limit of 3MB):

  • CV;
  • BSc and MSc degree certificates and transcripts;
  • 2 reference letters;
  • A pdf with the answers to the questionnaire;
  • A Jupyter Notebook with solutions to the coding problems.
For additional files such as theses and publications or other references, submit a link to a cloud directory and make it accessible.

You will receive a confirmation by email.