New associate professor position with ADASP: machine learning for distributed/multi-view machine listening and audio content analysis
By S. Essid
Our group is hiring an associate professor in machine learning for distributed/multi-view machine listening and audio content analysis.
Important Dates
- *March 27th, 2021: closing date [EXTENDED]
- End of April: 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 was founded in July 1878 and is one of the top four engineering schools in France for training general engineers. Recognized for its close ties with businesses, this public graduate school ensures excellent employment prospects in all industries and is considered the number-one engineering school for digital technology. With its top-level innovative teaching, Télécom Paris is at the center of a unique innovation ecosystem, drawing on the interaction and cross-disciplinary nature of the school’s academic programs, interdisciplinary research, two business incubators and its campuses (Paris and Sophia Antipolis – EURECOM). Its LTCI laboratory has been accredited by HCERES as an outstanding unit in the field of digital sciences for its international reputation and exceptional number of initiatives supporting the socio-economic world and industry, as well as for its great contribution to teaching.
A founding member of Institut Polytechnique de Paris and an IMT (Institut Mines-Télécom) school, Télécom Paris is positioned as the college for digital innovation on the Paris-Saclay Campus.
The Information Processing and Communication Laboratory (LTCI) 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, a subgroup of the statistics, signal processing and machine learning (S²A) team, within the Images, Data & Signals (IDS) department.
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
- An excellent command of spoken and written 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 experience and skills expected include:
- If the candidate does not speak French, at the moment of hire he/she must commit to obtaining a professional proficiency of French as quickly as possible while under contract
- Post-doctoral or international experience in an academic or industrial laboratory is appreciated
- The ability to be an active team member in a diverse faculty, staff, and student environment
- Strong teaching, pedagogical, and mentoring capabilities
Place of work
Palaiseau (Paris outskirts), France
How to apply
The application shall be sumitted, through this link, 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)