| SEVERAL OPEN POSITIONS IN SPEECH, COMPUTER VISION,
MACHINE LEARNING, AND MULTIMODAL INTERFACES
The IDIAP Institute is a not-for-profit research institute affiliated with the Swiss Federal Institute of Technology at Lausanne (EPFL)
and the University of Geneva. Located in Martigny (Valais, CH), IDIAP is partly funded by the Swiss Federal Government, the State of
Valais, and the City of Martigny, and is involved in numerous national and international (European) projects. Particularly active in the fields
of speech and speaker recognition, computer vision, and machine learning, where IDIAP is targeting at the highest level of research. The
institute currently numbers around 35-40 scientists, including permanent senior scientists, postdocs, and PhD students.
Recently, IDIAP (in close collaboration with the EPFL Signal Processing Laboratory of Prof. Murat Kunt, http://ltswww.epfl.ch) has been
awarded a major (10 years) research grant as the "Leading House" of a large National Centre of Competence in Research on
"Interactive Multimodal Information Management". In view of the resulting (present and future) growth of the Institute, IDIAP currently
welcomes applications of talented candidates at all levels with expertise or strong interest in the fields of speech processing, computer vision,
machine learning, and multimodal interaction.
The open positions include:
management and senior positions (including one scientific deputy director and one speech processing group leader)
project leaders
postdocs
PhD students
Two EPFL tenure track positions at the Assistant Professor level (with most of the research responsibilities located at IDIAP) are also
available.
Preference will be given to candidates with experience in one or several of the following areas:
signal processing
statistical pattern recognition (typically applied to speech and scene analysis)
neural networks
hidden Markov models
speech and speaker recognition
computer vision
human/computer interaction (dialog).
Senior and postdoc candidates should also have a proven record of high quality research and publications. All applicants should be
experienced in C/C++ programming and familiar with the Unix environment; they should also be able to speak and write in English (and be
willing to learn French).
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