PhD Position in Deep Learning 100 %
Veröffentlicht:
29 Mai 2025Pensum:
100%- Arbeitsort:Bern
Job-Zusammenfassung
PhD-Position an der Universität Bern in der Computer Vision Group. Spannende Chance für Deep Learning-Enthusiasten!
Aufgaben
- Forschung zu unüberwachtem Lernen und Bild-Tokenisierung.
- Entwicklung von leistungsstarken Repräsentationen für Daten.
- Mitwirkung an einem voll finanzierten Projekt über 4 Jahre.
Fähigkeiten
- Master-Abschluss in Informatik, Ingenieurwesen oder Mathematik erforderlich.
- Fundierte Kenntnisse in Machine Learning und Computer Vision.
- Erfahrung mit Deep Learning-Frameworks wie PyTorch oder TensorFlow.
Ist das hilfreich?
Institute of Computer Science
Start date: From July 1, 2025 (flexible)
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 an outstanding PhD candidate to join the Computer Vision Group (CVG) at the University of Bern, Switzerland.
About the Position
We are looking for a creative and driven PhD student to join a project at the frontier of unsupervised learning, image and video tokenization, and discrete generative models. The research will focus on building powerful representations that bridge visual and textual data, contributing to the development of next-generation AI systems.
• You will conduct original research within a well-established and dynamic research group
• The project is fully funded for 4 years
• Start date: From July 1, 2025 (flexible)
• The position remains open until an excellent candidate is found
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
Contact
Prof. Dr. Paolo Favaro
Computer Vision Group
Tel. +41 (0)31 684 44 51 (office)
Tel. +41 (0)31 684 49 14 (secretary)
E-Mail schreiben
www.cvg.unibe.ch
Interested?
Please send your application through the submission portal link http://cvg.unibe.ch/vacancies/
Applications submitted directly via email will not be considered.
