| Faculty position at the Associate,Professor level in machine learning applied to temporal data analysis. Telecom ParisTech [1], CNRS - LTCI lab [2]
-- Important Dates (tentative) ? February 15th, 2016: closing date ? End of March: hearings of preselected candidates
Applications are invited for a permanent (indefinite tenure) faculty position at the Associate Professor level (Maitre de Conferences) in machine learning applied to temporal data analysis.
-- Main missions
The hired associate professor will be expected to:
Research activities ? Develop research in machine learning applied to temporal data analysis that fits with the topics of the Audio, Acoustics and Waves (AAO) group [3] and the Image and Signal Processing department [4], which include (and is not restricted to) audio, physiological or video data analysis? ? Develop both academic and industrial collaborations on the previous topic, including collaborative activities with other Telecom ParisTech research departments and teams, and research contracts with industrial players ? Submit proposals to national and international research project calls
Teaching activities ? Participate in teaching activities at Telecom ParisTech and its partners (as part of joint Master programs), especially in machine learning and signal processing, including life-long training programs (e.g. the local Data Scientist certificate)
Impact ? Publish high quality research work in leading journals and conferences ? Be an active member of the research community (serving in scientific committees and boards, organizing seminars, workshops, special sessions...)
-- Candidate profile
As a minimum requirement, the successful candidate will have:
? A PhD degree ? A track record of research and publication in one or more of the following areas: machine learning, signal processing ? Experience in temporal data analysis problems (sequence prediction, multivariate time series, probabilistic graphical models, recurrent neural networks...) ? Experience in teaching ? Good command of English
The ideal candidate will also (optionally) have: ? Knowledge in deep learning methods ? Experience in distributed computing environments
Other skills expected include: ? Capacity to work in a team and develop good relationships withcolleagues and peers ? Good writing and pedagogical skills
-- More about the position ? Place of work: Paris until 2019, then Saclay (Paris outskirts) ? For more information about being an Associate Professor at Telecom ParisTech (in French), check [5]
-- How to apply Applications are to be sent by e-mail to: recrutement@telecom-paristech.fr
The application should include: ? A complete and detailed curriculum vitae ? A letter of motivation ? A document detailing past activities of the candidate in teaching and research: the two types of activities will be described with the same level of detail and rigor. ? The texts of the main publications ? The names and addresses of two referees ? A short teaching project and a research project (maximum 3 pages)
-- Contact : Slim Essid (Head of the AAO group) Gaël Richard (Head of the TSI department)
[1] http://www.tsi.telecom-paristech.fr [2] https://www.ltci.telecom-paristech.fr/?lang=en [3] http://www.tsi.telecom-paristech.fr/aao/en/ [4] http://www.tsi.telecom-paristech.fr/en/ [5] http://www.telecom-paristech.fr/telecom-paristech/offres-emploi-stages-theses/recrute-enseignants-chercheurs.html |