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