Telecom Paris' ADASP research group (https://adasp.telecom-paris.fr) is welcoming
applications for
multiple postdoc and audio software engineering positions in speech processing, machine
listening,
MIR and 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 network quantization
- Online speaker identification, diarization and separation
- Speech enhancement/denoising, target speaker extraction
- DCASE topics: acoustic scene classification, sound event detection and localization
- MIR topics: music representation learning, real-time remastering, autotagging


-- Profile of the candidates

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

--- Software engineering 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

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

-- 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@telecom-paris.fr) 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