Connectionists: Post-doctoral Position in Computer Vision at EPFL

[Pascal Fua]

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, 
helicopters, and drones. This is important because the skies are 
becoming ever more crowded by both commercial and general aviation, to 
which must now be added Unmanned Aerial Vehicles (UAVs), also known as 
drones, along with paragliders, blimps, and many other flying vehicles. 
   To this end, we add to existing devices a wide-angle camera to be 
used to detect aircraft that might be on a collision course. This will 
involve developing robust and energy efficient Computer Vision 
algorithms to detect potential threats that only occupy a small portion 
of the field of view, may move against complex backgrounds, and are 
filmed by a camera that itself moves against the background.

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.