2-year postdoctoral/research position in Audio and Multimedia scene analysis using multiple sensors Post-Doc

DeadLine: 30/09/2010 Firstname.Lastname@telecom-paristech.fr
http://www.tsi.telecom-paristech.fr/en/open-positions-phd-thesis-internships
/ *2-year Post-Doc/Research position in Audio and Multimedia scene analysis using multiple sensors

Place:
 TELECOM ParisTech (ENST), Paris, France (http://www.telecom-paristech.fr/) /Duration:
 2 years (1 year renewable for a second year)
Start:
 Any date from September 1st , 2010
Salary: according to background and experience

 * *****Position description**

The position is supported by the European Network of Excellence project “3Dlife” that aims to integrate research conducted within Europe in the field of Media Internet. In this framework, the research conducted encompasses all aspects related to the Analysis/synthesis of 3D audiovisual content for 3D models animation, virtual humans and virtual environments creation.
The role of the PostDoc/researcher will consist, on the one hand, in participating to the network collaborative integration activities, and on the other hand in conducting forefront research in the domain of audio and multimedia scene analysis using multiple sensors. For one of the use cases envisaged (multimedia dance scenes analysis), the signals are of different natures (Music, videos and potentially also electrical sensor output signals) and captured by multiple sensors of potential variable quality. A specific interest will be devoted to the development of innovative statistical fusion approaches capable of processing information on multiple semantic levels (from low level features to high level musical or video concepts). Machine learning methods such as Bayesian networks, support vector machines, Markov and semi-Markov models, or boosting are amongst the statistical frameworks of particular interest for this research.

*Candidate Profile*

 As minimum requirements, the candidate will have:
 · A PhD in audio or multimedia signal processing, speech processing, statistics, machine learning, computer science, electrical engineering, or a related discipline.
 · Some knowledge in audio signal processing
 · Programming skills in particular in Matlab (knowledge of Python would be a plus) The ideal candidate would also have: - Solid knowledge of machine learning techniques, in particular classification, temporal sequence segmentation and multi-sensor information fusion; - Ability to take over research project management responsibilities and work in a multi-partner and international collaborative environment; - Strong communication skills in English.
*Contacts*

Interested applicants may contact Gaël Richard or Slim Essid for more information or directly email a candidacy letter including a Curriculum Vitae, a list of publications and a statement of research interests. - Gaël Richard (firstname.lastname@telecom-Paristech.fr) ; +33 1 45 81 73 65 - Slim Essid (firstname.lastname@Telecom-ParisTech.fr).

 *More info on 3Dlife at :*
 http://www.3dlife-noe.eu/