| |
Telecom Paris is hiring an associate professor in machine learning for
distributed/multi-view machine listening and audio content analysis
See offer here:
https://adasp.telecom-paris.fr/news/job_offers/highlights/adasp_position_machine_listening_2021/ or read
on...
Institut Polytechnique de Paris [1] - Telecom Paris [2], LTCI lab [3], ADASP group [4]
-- Important Dates
? *March 20th 2021: closing date*
? End of April 2021: 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 for
distributed/multi-view machine listening and audio content analysis.
-- Context
Telecom Paris [2] is a French public institution for engineering higher education (grande
ecole) and scientific research, founded in July 1878. It is a founding member of the
Institut Polytechnique de Paris [1], a world-class scientific and technological
institution. Located in Palaiseau, at the Plateau de Saclay (Paris outskirts), this
Institution is a partnership between Ecole Polytechnique, ENSTA Paris, ENSAE Paris,
Telecom Paris and Telecom SudParis, with HEC as a key partner. Students and faculty
benefit from close relationships between the different institutions.
The Information Processing and Communication Laboratory (LTCI) [3] is Telecom Paris?
in-house research laboratory. Since January 2017, it has continued the work previously
carried out by the CNRS joint research unit of the same name. The LTCI was created in
1982 and is known for its extensive coverage of topics in the field of information and
communication technologies. The LTCI?s core subject areas are computer science, networks,
data science, signal and image processing and digital communications. The laboratory is
also active in issues related to systems engineering and applied mathematics.
The open position will be hosted by Telecom Paris? Audio Data Analysis and Signal
Processing (ADASP) group [4], a subgroup of the statistics, signal processing and machine
learning (S²A) team, within the Images, Data & Signals (IDS) department [5].
-- Main missions
The hired associate professor will be expected to:
[Research activities]
? Develop research in multi-view/distributed machine learning applied to machine
listening, in line with the topics of Telecom Paris? Audio Data Analysis and Signal
Processing (ADASP) group
? Develop both academic and industrial collaborations, including collaborative
activities with other Telecom Paris 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 Paris and its partners (as part of
joint Master programs), especially in machine learning, signal processing, and machine
listening, including life-long training programs (e.g. the local Data Scientist
certificate)
[Impact]
? Publish high quality research work in leading journals and conferences
? Play an active role in the research communities relevant to the position (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 or machine listening
? Experience in deep learning, audio data analysis, machine listening, music data
analysis, multi-view learning, distributed learning
? Experience in teaching
? Good command of English
The ideal candidate will also (optionally) have:
? Knowledge in frugal learning techniques
? Experience in source separation/enhancement and signal denoising techniques
? Experience in distributed computing environments
Other skills expected include:
? Capacity to work in a team and develop good relationships with colleagues and peers
? Good communication and pedagogical skills
Note that you do *not* need to speak French to apply.
-- Place of work
Palaiseau (Paris outskirts), France
-- How to apply
The application shall be submitted, through this link:
https://institutminestelecom.recruitee.com/o/maitre-de-conference-en-machine-listening,
as a single pdf file, including:
? a letter of motivation
? a complete and detailed curriculum vitae
? statements of research and teaching interests (4 pages)
? three main publications
? contact information for two references, to be sent to Slim Essid
-- Contact
Slim Essid (Coordinator of the ADASP group), https://perso.telecom-paris.fr/~essid/ |
