[visionlist] Postdoc Position @ EPFL - Deep Learning for Facial Image Analysis

[Hazım Kemal Ekenel]

*Job description *

The Signal Processing Laboratory (LTS5) at EPFL (Lausanne, Switzerland) is
recruiting an outstanding postdoctoral researcher to work on *Deep Learning
for Facial Image Analysis*.

Lead by Prof. Jean-Philippe Thiran, the LTS5 develops leading edge research
in image analysis and computer vision, with a particular emphasis on facial
image analysis, including 3D face reconstruction, facial expression
recognition, lip-reading, eye tracking, etc. in close collaboration with
the Istanbul Technical University (Prof. Hazım Kemal Ekenel).

In the context of several industrial collaborations and of a large H2020 EU
project dedicated to Advanced Driver Assistance Systems (Project ADAS&ME -
http://www.adasandme.com
<https://www.researchgate.net/deref/http%3A%2F%2Fwww.adasandme.com%2F>),
we have an open position for a postdoctoral research specialized in machine
learning and facial expression recognition. Research will be primarily
oriented towards developing innovative machine learning methods for
personalized facial expression recognition.

*Details:*

   - The position is for at least 2 years (1 year contract, renewable).
   EPFL offers attractive salaries, based on experience and excellence criteria
   - Post-doc fellows of exceptional caliber may also be granted
   responsibility for co-supervising a PhD student on a subject related to
   their research
   - Starting date is around October 1, 2017.

*How to apply:*

Full applications and informal inquiries should be sent to Prof.
Jean-Philippe Thiran by email: jean-philippe.thiran at epfl.ch

Full applications must be in the form of a single pdf file including: a
motivation letter describing your research interests and your match to the
advertised position, your CV and publication list, and names and email
address of 3 references. Screening of candidates will start iimmediately.
Desired skills and experience

   - Candidates will have an outstanding profile and hold, or be about to
   finish, a PhD in electrical engineering, applied mathematics, computer
   science or a related area
   - Strong competences in image processing and machine learning
   are required, including deep learning, model adaptation, face
   reconstruction and analysis
   - Good programming skills (C++ or equivalent) are required

About the employer
The Ecole Polytechnique Fédérale de Lausanne (EPFL -
http://www.epfl.ch/index.en.html) is an internationally top-ranked
scientific research and educational institution on the shores of Lake
Geneva, Switzerland. As one of two Swiss Federal Institutes of Technology,
its trajectory over the past four decades is unparalleled—taking the lead
in emerging fields of research such as bioengineering, signal processing
and energy / transportation technology.
Under the leadership of Professor Jean-Philippe Thiran, the Signal
Processing Laboratory (LTS5)
<https://www.researchgate.net/deref/http%3A%2F%2Flts5www.epfl.ch> of EPFL
counts some 30 researchers, both PhD students and post-docs, conducting
leading edge research in different domains of signal/image analysis and
computer vision, including data acquisition and reconstruction, object
detection, recognition and tracking, behavioral models in image analysis,
facial image analysis, medical and remote sensing imaging.
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