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Jean-Marc Odobez <[log in to unmask]>
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Jean-Marc Odobez <[log in to unmask]>
Sat, 17 Jul 2010 19:50:04 +0200
text/plain (82 lines)
The Idiap Research Institute (, associated with
EPFL (Swiss Federal Institute of Technology, Lausanne) seeks
qualified candidates for:

* A Post-doc position on Head pose tracking and visual attention modeling
  and multi-person interaction analysis.

* A Ph.D Student on  3D face tracking and gaze modeling

For further details about positions and Idiap, see below.
Interested candidates should send a letter of motivation,
a detailed CV, and the names of three referees to

Jean-Marc Odobez ([log in to unmask], tel : +41 (0)27 721 77 26)

* A Post-doc position on Head pose tracking and visual attention modeling
  and  multi-person interaction analysis.

The  research will  be conducted  in the  context of  the  TA2 project
(  funded by  the European  Commission.  The
overall  goal of  the project  is to  develoop tools  to  favor remote
communication  and engagement  between groups  of people  separated in
space and time.

More specifically,  the postdoc will  be involved in the  research and
development  of algorithms  for the  analysis of  the gaze  and visual
attention of people engaged in family video conference scenarios. This
research  will rely  on Idiap's  previous expertise  on the  design of
multimodal person attention modeling in small group meetings.

The  postdoctoral  researcher  should  have  a  strong  background  in
computer vision. Experience  in one or several of  the following areas
is required: visual  tracking; head modeling (detection, recognition),
facial feature analysis; human  or object detection; machine learning.
The  applicant  should  also  have  strong  programming  skills,  with
experience in  C/C++ development.  The  position is initially  for one year.

* A Ph.D Student on  3D face tracking and gaze modeling

The research  will be conducted  in the project TRACOME  ("Robust face
tracking,  feature extraction and  multimodal fusion  for audio-visual
speech   recognition  and   visual  attention   modeling   in  complex
environment")  funded  by  the   Swiss  Science  Foundation.  The  PhD
candidate  will work  on the  design of  new methods  for  robust face
tracking under natural head  movements using 3D deformable models, the
tracking of gaze directions, and its application to attention modeling
in human-human  or robot-to-group of human  interaction scenarios. The
work will be done in collaboration  with the LTS 5 laboratory of EPFL,
which  will handle  the audio-visual  speech recognition  task  of the

The successful Ph.D student, who will be enrolled in the EPFL doctoral
program, should  have a master  in computer science or  related field,
with  a good background  in mathematics.  Experience or  background in
statistical learning theory, image  processing or computer vision is a
plus. The applicant should be  familiar with C/C++ programming and the
Linux environment. Appointment  for the PhD student position  is for a
maximum of 4 years. Starting date: immediately.

About Idiap:  

Idiap is  an independent, non-profit  research institute
recognized and supported by  the Swiss Government, and affiliated with
the Ecole Polytechnique Fédérale de  Lausanne (EPFL). It is located in
the  town of  Martigny in  Valais,  a scenic  region in  the south  of
Switzerland,  surrounded  by  the  highest mountains  of  Europe,  and
offering exciting recreational  activities, including hiking, climbing
and skiing, as well as  varied cultural activities. It is within close
proximity to  Geneva and  Lausanne. Although Idiap  is located  in the
French  part of  Switzerland, English  is the  working  language. Free
French lessons  are provided.   Idiap offers competitive  salaries and
conditions  at  all levels  in  a  young,  dynamic, and  multicultural
environment. Idiap  is an equal  opportunity employer and  is actively
involved   in  the   "Advancement  of   Women  in   Science"  European
initiative.  The  Institute seeks  to  maintain  a  principle of  open
competition (on  the basis  of merit) to  appoint the  best candidate,
provides equal  opportunity for all candidates,  and equally encourage
both genders to apply.