[AUDITORY] Telecom Paris is hiring an associate professor in machine listening (Geoffroy Peeters )


Subject: [AUDITORY] Telecom Paris is hiring an associate professor in machine listening
From:    Geoffroy Peeters  <geoffroy.peeters@xxxxxxxx>
Date:    Tue, 19 Jan 2021 10:18:21 +0100

* Apologies for cross-postings * Telecom Paris is hiring an associate professor in machine learning for=20 distributed/multi-view machine listening and audio content analysis Institut Polytechnique de Paris [1] - Telecom Paris [2], LTCI lab [3],=20 ADASP group [4] -- Important Dates (UPDATED!) =E2=80=A2 *March 20th 2021: closing date* =E2=80=A2=C2=A0=C2=A0=C2=A0 End of April 2021: hearings of preselected ca= ndidates Applications are invited for a permanent (indefinite tenure) faculty=20 position at the Associate Professor level (Maitre de Conferences) in=20 machine learning for distributed/multi-view machine listening and audio=20 content analysis. -- Context Telecom Paris [2] is a French public institution for engineering higher=20 education (grande ecole) and scientific research, founded in July 1878.=20 It is a founding member of the Institut Polytechnique de Paris [1], a=20 world-class scientific and technological institution. Located in=20 Palaiseau, at the Plateau de Saclay (Paris outskirts), this Institution=20 is a partnership between Ecole Polytechnique, ENSTA Paris, ENSAE Paris,=20 Telecom Paris and Telecom SudParis, with HEC as a key partner. Students=20 and faculty benefit from close relationships between the different=20 institutions. The Information Processing and Communication Laboratory (LTCI) [3] is=20 Telecom Paris=E2=80=99 in-house research laboratory. Since January 2017, = it has=20 continued the work previously carried out by the CNRS joint research=20 unit of the same name. The LTCI was created in 1982 and is known for its=20 extensive coverage of topics in the field of information and=20 communication technologies. The LTCI=E2=80=99s core subject areas are com= puter=20 science, networks, data science, signal and image processing and digital=20 communications. The laboratory is also active in issues related to=20 systems engineering and applied mathematics. The open position will be hosted by Telecom Paris=E2=80=99 Audio Data Ana= lysis=20 and Signal Processing (ADASP) group [4], a subgroup of the statistics,=20 signal processing and machine learning (S=C2=B2A) team, within the Images= ,=20 Data & Signals (IDS) department [5]. -- Main missions The hired associate professor will be expected to: [Research activities] =E2=80=A2=C2=A0=C2=A0=C2=A0 Develop research in multi-view/distributed ma= chine learning applied=20 to machine listening, in line with the topics of Telecom Paris=E2=80=99 A= udio=20 Data Analysis and Signal Processing (ADASP) group =E2=80=A2=C2=A0=C2=A0=C2=A0 Develop both academic and industrial collabor= ations, including=20 collaborative activities with other Telecom Paris research departments=20 and teams, and research contracts with industrial players =E2=80=A2=C2=A0=C2=A0=C2=A0 Submit proposals to national and internationa= l research project calls [Teaching activities] =E2=80=A2=C2=A0=C2=A0=C2=A0 Participate in teaching activities at Telecom= Paris and its=20 partners (as part of joint Master programs), especially in machine=20 learning, signal processing, and machine listening, including life-long=20 training programs (e.g. the local Data Scientist certificate) [Impact] =E2=80=A2=C2=A0=C2=A0=C2=A0 Publish high quality research work in leading= journals and conferences =E2=80=A2=C2=A0=C2=A0=C2=A0 Play an active role in the research communiti= es relevant to the=20 position (serving in scientific committees and boards, organizing=20 seminars, workshops, special sessions...) -- Candidate profile As a minimum requirement, the successful candidate will have: =E2=80=A2=C2=A0=C2=A0=C2=A0 A PhD degree =E2=80=A2=C2=A0=C2=A0=C2=A0 A track record of research and publication in= one or more of the=20 following areas: machine learning, signal processing or machine listening =E2=80=A2=C2=A0=C2=A0=C2=A0 Experience in deep learning, audio data analy= sis, machine=20 listening, music data analysis, multi-view learning, distributed learning =E2=80=A2=C2=A0=C2=A0=C2=A0 Experience in teaching =E2=80=A2=C2=A0=C2=A0=C2=A0 Good command of English The ideal candidate will also (optionally) have: =E2=80=A2=C2=A0=C2=A0=C2=A0 Knowledge in frugal learning techniques =E2=80=A2=C2=A0=C2=A0=C2=A0 Experience in source separation/enhancement a= nd signal denoising=20 techniques =E2=80=A2=C2=A0=C2=A0=C2=A0 Experience in distributed computing environme= nts Other skills expected include: =E2=80=A2=C2=A0=C2=A0=C2=A0 Capacity to work in a team and develop good r= elationships with=20 colleagues and peers =E2=80=A2=C2=A0=C2=A0=C2=A0 Good communication and pedagogical skills -- Place of work Palaiseau (Paris outskirts), France -- How to apply (UPDATED!) The application shall be submitted, through this link:=20 https://institutminestelecom.recruitee.com/o/maitre-de-conference-en-mach= ine-listening,=20 as a single pdf file, including: =E2=80=A2=C2=A0=C2=A0=C2=A0 a letter of motivation =E2=80=A2=C2=A0=C2=A0=C2=A0 a complete and detailed curriculum vitae =E2=80=A2=C2=A0=C2=A0=C2=A0 statements of research and teaching interests= (4 pages) =E2=80=A2=C2=A0=C2=A0=C2=A0 three main publications =E2=80=A2=C2=A0=C2=A0=C2=A0 contact information for two references, to be= sent to Slim Essid -- Contact Slim Essid (Coordinator of the ADASP group),=20 https://perso.telecom-paris.fr/~essid/ [1] https://www.ip-paris.fr/en [2] https://www.telecom-paris.fr/en/home [3]=20 https://www.telecom-paris.fr/en/research/laboratories/information-process= ing-and-communication-laboratory-ltci=20 [4] https://adasp.telecom-paris.fr [5] http://www.tsi.telecom-paristech.fr/en/


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