Two PhD positions in Computer Vision at the University of Edinburgh

Two PhD positions in Computer Vision at the University of Edinburgh

Posted by Rebecca Martin on Tue, 26/07/2011 - 10:10

Applications are invited for two fully funded PhD students to work in
the School of Informatics on the following topics:

* knowledge transfer to automate learning visual models
* learning visual object categories from consumer and advertisement videos
* leveraging the structure of natural sentences to aid visual learning

Applicants must have:

* Master degree (preferably in Computer Science or Mathematics)
* Excellent programming skills; the projects involve programming
in Matlab and C++
* Solid knowledge of Mathematics (especially algebra and statistics)
* Highly motivated
* Fluent in English, both written and spoken
* UK or EU nationality
* Experience in computer vision and/or machine learning is a plus
(ideally a master thesis in a related field)

The School of Informatics at Edinburgh is one of the top-ranked
departments of Computer Science in Europe and offers an exciting
research environment. Edinburgh is a beautiful historic city with a
high quality of life.

Starting date: January 2012 or later

The PhD work will be carried out under the supervision of Vittorio
Ferrari. He is currently with ETH Zurich. He will move to the
University of Edinburgh in December 2011 and build a new research
group in Computer Vision. For an overview of his current research
activities, please visit

http://www.vision.ee.ethz.ch/~calvin/

For pre-screening, please send applications to the email address
below, including:
* complete CV
* title and abstract of your master thesis
* complete grades for all exams passed during both the bachelor and master
(to obtain this position you need high grades, especially in
mathematics and programming disciplines)
* the name and email address of one reference (preferably your
master thesis supervisor)
* if you already have research experience, please include a publication list.

email: vittorio.ferrari(at)ed.ac.uk