Connectionists: Post-doctoral Fellow in Image/Video Content Analysis and Recognition at EPFL

[Pascal Fua]

The images and visual representation group ( http://ivrgwww.epfl.ch )  
and the computer vision laboratory ( http://cvlab.epfl.ch )  have a 
joint opening for a post-doctoral fellow in the field of image and video 
content analysis and recognition. The position is initially offered for 
18 months, with the possibility of renewal for an additional 18.

Description

The addition of context information (technical metadata, other sensor 
data, other text data, etc.) promises to greatly increase the potential 
to better segment, analyze, and recognize media content, and even to 
semantically annotate it. In the current and emerging wired environment, 
low level feature image/video systems will become increasingly 
intertwined with physical reality, will be based on resources shared 
over the Internet and will be supporting social interactions. This will 
impact the image/video analysis and recognition, requiring the ability 
to deal with the inherent uncertainty in the varied context information.

Position

The images and visual representation group and the computer vision 
laboratory at EPFL offer a creative international environment, a 
possibility to conduct highly competitive research on a global scale and 
involvement in teaching. Within the project, there are opportunities to 
cooperate with national and international research and industrial 
partners. There is the possibility to gain valuable experience in the 
emerging field of context aware imaging systems, in terms of new 
theoretical models and algorithms and in prototype systems. In addition, 
active participation in research projects and advising a small group of 
highly motivated Ph.D. students is expected. Salaries are in the range 
CHF 70000 to 80000 per year, the precise amount to be determined by 
EPFL's department of human resources.

Education

The candidate must hold a Ph.D. degree with top performance in a field 
related to image/video content analysis and recognition. Strong 
mathematics and programming skills (C or C++ and Matlab) are a plus. 
S/he should have a track record in conducting original highly 
competitive scientific research and publishing the results in top 
conferences and scientific journals. Maturity, self-motivation, and the 
ability to work both independently and as a team player in local and 
international research teams are expected. French language skills are 
not required, English is mandatory.

Application

Applications can either be sent via email or letter:

Prof. Sabine Susstrunk
EPFL-IC-LCAV2, Batiment BC
Station 14
CH-1015 Lausanne
Switzerland

E-mail: sabine.susstrunk at epfl.ch <mailto:sabine.susstrunk at epfl.ch>
They must contain a statement of interest, a CV, a list of publications, 
and the names of three references.

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 Prof. P. Fua (Pascal.Fua at epfl.ch) 
 Tel: 41/21-693-7519  FAX: 41/21-693-7520
 Url: http://cvlab.epfl.ch/~fua/
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