[AUDITORY] Telecom Paris' ADASP research group is hiring PhD students, postdocs & research engineers to develop machine listening/speech/MIR/ technologies for AI-powered hearables

[Slim Essid <slim.essid@xxxxxxxxxxxxxxxxxxxx>]

[APOLOGIES FOR CROSS-POSTINGS]
[html version: https://adasp.telecom-paris.fr/resources/2022-05-03-audible-positions/]

Telecom Paris' ADASP research group (https://adasp.telecom-paris.fr) is welcoming applications for 
multiple PhD student, postdoc and research engineer positions in machine listening, MIR and speech / 
audio / music DSP to start in September 2022 onwards.

The work will be performed as part of a collaborative project whose purpose is to revolutionise
hearable technologies (especially TWS/earbuds) by offering extremely efficient real-time machine
listening, speech processing and MIR solutions which can run on very low consumption hardware.

Telecom Paris [2] is located on the Plateau de Saclay (Paris outskirts). Accepted candidates will
join the ADASP group [4], a multidisciplinary team working at the intersection of machine learning,
sound, music and signal processing.

-- Relevant topics
Should you resonate with any of the following keywords, do not hesitate to apply (provided that you
comply with the requirements further below):

- Model-based, few-shot, frugal, self-supervised and semi-supervised learning
- Domain-shift adaptation, knowledge distillation and deep net quantization
- Online speaker identification, diarization and separation
- Speech enhancement/denoising
- DCASE topics : acoustic scene classification, sound event detection and localization
- MIR topics : music representation learning, real-time remastering, autotagging


-- Profile of the candidates
--- All candidates
- Strong communication skills in English (French is not required)
- Team spirit
- Excellent coding skills

--- PhD student candidates
- MSc. in one of the following areas: computer science, machine learning, data science, signal
processing or machine listening
- Sufficient background in machine learning and signal processing, ideally audio/speech signal
processing

--- Postdoc candidates
- A PhD degree
- A track record of research and publication in one or more of the following areas: machine
learning, signal processing, machine listening, edge machine learning
- Experience in deep learning (ideally) applied to audio / speech analysis / machine listening

--- Engineer candidates
- MSc. in one of the following areas: computer science, electrical engineering or electronics
- Experience with real-time audio DSP / edge computing (especially edge machine learning) / ML ops 
will be a big plus
- Sufficient background in machine learning and signal processing, ideally audio/speech signal
processing

-- Important Dates
Review of applications will start as soon as possible, and continue until all posts are filled.

-- How to apply
The application shall be submitted via email (slim.essid@xxxxxxxxxxxxxxxx) as a *single pdf file*,
including:
- a letter of motivation
- a complete and detailed curriculum vitae, including email contact details of two references

-- Context
Telecom Paris [2] is a French leading engineering school and scientific research institution,
founded in July 1878. It is a founding member of the Institut Polytechnique de Paris [1],
a world-class scientific and technological institution.
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.

-- Contact
Slim Essid, Coordinator of the ADASP group


[1] https://www.ip-paris.fr/en
[2] https://www.telecom-paris.fr/en/home
[3]
https://www.telecom-paris.fr/en/research/laboratories/information-processing-and-communication-laboratory-ltci
[4] https://adasp.telecom-paris.fr