Vacancies
Research Positions in Machine Learning and Computer Vision
University of Bern - Computer Vision Group
Are you passionate about deep learning, unsupervised learning, and pushing the boundaries of AI? We are offering an exciting opportunity for 2 outstanding PhD candidates and one Postdoc to
join the Computer Vision Group (CVG) at the University of Bern, Switzerland.
About the Position
We are looking for creative and driven candidates to join an ambitious research project at the frontier of selfsupervised
and meta-learning for next-generation AI systems. The research will investigate how the structure of
pretraining data and the choice of learning objective shape the prior knowledge of deep learning models, and how
these priors can be optimized to enable rapid adaptation to novel tasks. The project combines the development of
novel datasets, controlled benchmark environments, and evaluation methods for knowledge and problem-solving,
with the design of new learning algorithms and architectures for efficient, robust, and transferable intelligence.
- The project is fully funded for 4 years
- Start date: From October 1, 2026 (flexible)
- The position remains open until an excellent candidate is found
- You will conduct original research within a well-established and dynamic research group
- The project is in close collaboration with Prof Andrea Vedaldi (University of Oxford)
Your profile
We’re looking for someone who is curious, ambitious, and eager to work on high-impact research topics in AI. Must haves:
- A master’s degree in Computer Science, Engineering, Mathematics, or a related field
- A solid foundation in machine learning, deep learning, and computer vision
- Strong skills in applied mathematics, probability, and programming (e.g., Python, C/C++)
- Experience with at least one major deep learning framework (e.g., PyTorch, TensorFlow)
- Good communication skills and fluency in English
If you enjoy solving challenging problems and are excited by the prospect of contributing to fundamental advances
in deep learning, we want to hear from you!
What we offer
- Join a collaborative and innovative research environment
- Be part of a vibrant academic team and work alongside world-class researchers
- Access to state-of-the-art compute infrastructure
- Opportunities to publish at top-tier conferences and participate in the global research community
- Funding to attend international conferences, workshops, and training programs
- A competitive salary, including additional compensation for teaching assistance
- Live in Bern, a beautiful, livable city in the heart of Switzerland with outstanding quality of life
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.
Do not consult anyone nor use ChatBots/LLMs to solve the tasks and the problem set.