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

Job description

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://ift.tt/2lXKs2d),
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.


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@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

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

Ecole Polytechnique Fédérale de Lausanne (EPFL –
http://ift.tt/2qJA6GV.) 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

Under the leadership of Professor Jean-Philippe Thiran, the Signal Processing Laboratory (LTS5)
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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