ORGANISATION AND LOCATION: Computer Vision Center Barcelona, Spain
WEBSITE: http://www.cvc.uab.es/lamp/

DESCRIPTION OF JOB:
We are seeking a PhD 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, domain adaptation, generative models, self-supervised learning, etc. The position is on an industrially sponsored project. The project is on image-to-image and image-to-video generation.

PROJECT SUPERVISOR; HOSTING GROUP
Joost van de Weijer will be the supervisor. He is the leader of the Learning and Machine Perception (LAMP) team at the CVC.

CANDIDATE ’S PROFILE
The candidate should hold a Masters degree or equivalent. 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. Prior knowledge of deep learning (Tensor Flow, Pytorch) is required.

FUNDING CONDITIONS
Living allowance of 19k€/year (gross salary).

CONTACT AND CONTACT EMAIL:
Interested applicants should email their CV (preferably with contact information of 2 references) and transcript of university course grades to Dr. Joost van de Weijer (joost@cvc.uab.es). Also, for any other inquiries please contact Joost van de Weijer.

DATES:
The position will be open until filled. The first evaluation of candidates will be July 31th. Positions should start in the new academic year (Sept, Oct) 2022.

THE COMPUTER VISION CENTER
The selected candidate will work in the Computer Vision Centre (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 Centre offers an exciting environment for scientific career development. The Computer Vision Centre 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.

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