Annonce en lien avec l’Action/le Réseau : aucun

Laboratoire/Entreprise : LTCI, Télécom ParisTech, Paris
Durée : CDI
Contact : florence.dalche@telecom-paristech.fr
Date limite de publication : 2018-03-01

Contexte :

Telecom ParisTech’s machine learning, statistics and signal processing
group (a.k.a S²A group), within the Laboratoire de Traitement et
Communication de l’Information (https://ltci.telecom-paristech.fr/en/) , is inviting applications for a
permanent (indefinite tenure) faculty position at the *Associate Professor*
level (Maitre de Conferences) in *deep learning applied to temporal data
analysis*.
— Important Dates (tentative)

• February 28th, 2018: closing date

• Mid April: hearings of preselected candidates

Sujet :

Main missions

The recruit will be expected to lead:

Research activities

• Develop groundbreaking research in the field of deep learning, with a
special emphasis on structured prediction and interactions with
probabilistic graphical models, targeting applications to temporal data
analysis that are well aligned with the topics of the S²A group [3] and the
Images, Data & Signals department [4], which include (and is not restricted
to) audio, physiological, video data, sensor data analysis …

• Develop both academic and industrial collaborations on the same topic,
including collaborative activities with other Telecom ParisTech research
departments and teams, and research contracts with industrial players

• Set up research grants and take part in national and international
collaborative research projects

• 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…)

Teaching activities

• Participate in teaching activities at Telecom ParisTech and its
partner academic institutions (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)– More about the position

• Place of work: Paris until 2019, then Campus of Paris-Saclay, near Ecole Polytechnique (Paris outskirts)

• For more information about being an Associate Professor at Telecom
ParisTech, check [6] (in French)

Profil du candidat :
— Candidate profile

As a minimum requirement, the successful candidate will have:

• A PhD degree

• A track record of research and publications in one or more of the
following areas: machine learning, especially deep 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:

• Experience in distributed computing environments

NOTE:

The candidate does *not* need to speak French at the moment of application, but must be willing to learn the language (teaching will be given partly in English and in french)

Other skills expected include:

• Capacity to work in a team and develop good relationships with
colleagues and peers
• Good writing and pedagogical skills

— More about the position

• Place of work: Paris until 2019, then Campus of Paris-Saclay, near Ecole Polytechnique (Paris outskirts)

• For more information about being an Associate Professor at Telecom
ParisTech, check [6] (in French)

— 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)

Formation et compétences requises :
Voir profil

Adresse d’emploi :
Important Dates (tentative)

• February 28th, 2018: closing date

• Mid April: hearings of preselected candidates
— 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 :
Stephan Clémençon, head of the S2A group, stephan.clemencon@telecom-paristech.fr
Florence d’Alché-Buc, Machine Learning, florence.dalche@telecom-paristech.fr
Slim Essid, ADASP, slim.essid@telecom-paristech.fr
Gaël Richard (Head of the IDS department), gael.richard@telecom-paristech.fr
[1] http://www.tsi.telecom-paristech.fr
[2] http://www.tsi.telecom-paristech.fr/ssa/
[3] http://www.tsi.telecom-paristech.fr/aao/en/
[4] http://www.tsi.telecom-paristech.fr/en/
[5] https://www.ltci.telecom-paristech.fr/?lang=en
[6] https://www.telecom-paristech.fr/nc/telecom-paristech/offres-emploi-stages-theses/fiche-offre-demploi.html?offre_emploi=211

Document attaché : A0106-en-position.pdf