ORGANISATION
AND LOCATION: Computer Vision Center Barcelona, Spain
WEBSITES:
- Computer Vision Centre: http://www.cvc.uab.es/lamp/
- Application: https://www.cvc.uab.es/blog/2025/06/02/phd-position-in-deep-learning-at-the-cvc/
- Research teams: https://www.vlr.ai/, http://lamp.cvc.uab.es/
DESCRIPTION
OF JOB:
We are seeking a PhD candidate to join the Learning and Machine Perception
(LAMP) team in beautiful Barcelona. The position is for 4 years. LAMP is in the
Computer Vision Center at the Universitat Autònoma de Barcelona and performs
research on continual learning of foundation models.
The project is part of a large European project on multi-modal foundation model learning. The main topic of the PhD is on continual learning of foundation models. The developed theory will be applied in the document intelligence domain. The objective is to perform fundamental research on extending continual learning theory to the era of foundation models. This position is linked to the ELLIOT project (funded by the European Union) on European Large Open Multi-Modal Foundation Models.
PROJECT
SUPERVISOR & HOSTING GROUP:
Dimosthenis Karatzas and Joost van de Weijer will be the supervisors.
Dimosthenis leads the Vision, Language and Reading (VLR) research team and Joost van
de Weijer the Learning and Machine Perception (LAMP) research team.
CANDIDATE’S
PROFILE:
The candidate should hold a Masters degree or equivalent. Applicants are
expected to be fluent in both spoken and written English. They should work well
in a team while demonstrating initiative and independence. Prior knowledge
of deep learning frameworks such as TensorFlow and PyTorch is required.
DATES:
The position will remain open until filled. The first evaluation of candidates
will be June 15th. The position could start from 1-9-2025.
INFORMATION:
Informal inquiries about the PhD position can be send to jo...@cvc.uab.es
THE COMPUTER VISION CENTER
The selected candidate will work in the Computer Vision Center (CVC),
Barcelona, a research institute comprising more than 100 researchers and
support staff, dedicated to computer vision research and knowledge transfer.
With a strong international projection and links to the industry, the
Computer Vision Center offers an exciting environment for scientific career
development. The Computer Vision Center has a plan for expansion of its
permanent research staff base, and has received the “HR Excellence in Research”
award as a provider and supporter of a stimulating and favorable working
environment.