[ML-news] [Jobs] PHD POSITIONS IN CONTINUAL LEARNING OF FOUNDATION MODELS

[Joost van de Weijer]

PhD POSITION on Continual Learning for Foundation Models

We are seeking a PhD student to join the Learning and Machine Perception (LAMP) team in beautiful Barcelona.  The LAMP team is part of the Computer Vision Center at the Universitat Autònoma de Barcelona; the CVC is a center with over 100 persons working on computer vision and machine learning research.

The position is for four years. The position is focused on ‘Continual Learning for Foundation Models’ where the aim is to adapt foundation models to new tasks without forgetting previous knowledge. The focus of the project can be defined in collaboration with the supervisor, with potential avenues including optimization aspects, parameter-efficient adaptation methods, model merging theory, multi-modal continual learning, or adaptation to open-world scenarios.

For informal inquiries, email me (jo...@cvc.uab.es).

PROJECT SUPERVISOR & HOSTING GROUP
Joost Van de Weijer and Bogdan Raducanu will be the supervisors. They are in the Learning and Machine Perception (LAMP) team at the CVC. For more information on the LAMP team visit: http://www.cvc.uab.es/lamp/

CANDIDATE ’S PROFILE
The candidate should have a background in machine learning or computer vision and should have prior experience with deep neural networks. The applicants are expected to be fluent in both oral and written communication in English. They should work well in a team while demonstrating initiative and independence. The candidate is expected to supervise PhD students.

RESEARCH CONTACT
If you are interested in the position, please contact Dr. Joost van de Weijer for more information and applications  (jo...@cvc.uab.es).

FUNDING CONDITIONS
Living allowance of 22-24k€/year (gross salary).

APPLICATION PROCEDURE AND PROCESS
The start date is as soon as possible. The position will remain open until a suitable candidate is found. All applications must be submitted through the online form and include a full CV. Please use the following link:[LINK]