Connectionists: Post-doctoral Position in Computer Vision at EPFL

Pascal Fua pascal.fua at epfl.ch
Mon Oct 24 12:41:52 EDT 2016


EPFL's Computer Vision Laboratory (http://cvlab.epfl.ch/) has an opening 
for a post-doctoral fellow. The position is initially offered for 1 year 
and can be extended for up to 4 years total.

Description:

EPFL's Computer Vision laboratory (http://cvlab.epfl.ch)  is about to 
begin in a joint project with FLARM (http://flarm.com/), a  Swiss 
Company that develops collision avoidance devices for  light aircrafts. 
The current generation  of such devices relies on  GPS data  and we 
intend  to extend their  capabilities by  also using video cameras as 
proximity sensors. The post-doctoral fellow will be expected to develop 
Deep Learning algorithms that can exploit both real and synthetic data 
to this end.

Position:

The Computer Vision Laboratory offers a creative international 
environment, a possibility to conduct competitive research on a global 
scale and involvement in teaching.  There will be ample opportunities to 
cooperate with some of the best groups in Europe and elsewhere.

EPFL is located next to Lake Geneva in a beautiful setting 60 kilometers 
away from the city of Geneva.  Salaries for post-doctoral fellows start 
from CHF 81,400 per year, the precise amount to be determined by EPFL's 
department of human resources.

Education:

Applicants are expected to have finished, or be about to finish their 
Ph.D.  degrees, to have a strong background in Computer Vision and 
Statistical Machine Learning, and to have a track record of publications 
in top conferences and journals.  Strong programming skills (C or C++) 
are a plus.  French language skills are not required, English is mandatory.

Application:

Applications must be sent by email to Ms. Staudenmann 
(ariane.staudenmann 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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