Applications are invited for a PhD position in Artificial Intelligence within the Stochastic Information Processing (SIP) Group, led by Prof. Slava Voloshynovskiy, at the Department of Computer Science, Faculty of Science, University of Geneva.
This position offers the opportunity to pursue research in a multidisciplinary environment, combining computer science, mathematics, and artificial intelligence to address fundamental challenges in visual understanding.
Research focus
The research will focus on developing next-generation AI methods in the following areas, with applications to image and video analysis:
- Foundation Models
- Self-Supervised Learning
- World Models
- Explainable AI
The selected candidate will be encouraged to develop original research ideas, explore connections across these areas, and validate new methods through rigorous experimentation.
What we offer
- A competitive annual salary of approximately CHF 60,000.
- A multidisciplinary research environment, with opportunities to exchange ideas and collaborate with researchers across complementary fields.
- Access to dedicated computing resources, including an individually allocated cluster equipped with several recent GPUs, enabling independent experimentation, model development, and validation of research ideas.
- Scientific guidance and support to develop a strong research profile and publish in leading international conferences and journals.
Application deadline: 10 December 2026
Expected starting date: March/April 2027 (to be discussed)
Application link: https://docs.google.com/forms/d/e/1FAIpQLSejUNVgA1wrnGjLESma6f0FVbKCHKu7_Zsu_GN44THbd8T5zw/viewform
Eligibility
Applicants should have a background in Computer Science, Mathematics, Artificial Intelligence, or a closely related field, with a strong interest in machine learning and research.
We welcome candidates with strong analytical skills, programming experience, and the motivation to investigate challenging problems both independently and collaboratively.
Candidates must have completed their Master’s degree and obtained their Master’s diploma or official degree certificate by the starting date.
Documents required
Please prepare the following documents before completing the application:
- Curriculum Vitae (PDF), including links to your personal webpage, GitHub profile, or relevant projects, where available, and the names and contact details of two to three referees.
- Academic transcripts.
- Degree certificate(s), if already available.
Recommendation letters are not required at this stage. Referees may be contacted during the selection process. An English language certificate is not required.
