Postdoc @ CNRS in Nantes "Deep learning and multiresolution analysis for audio"

[Vincent Lostanlen]

Hello everyone,

I am a scientist at CNRS, the French national center for scientific research. I am looking to hire a postdoctoral researcher at the intersection of deep learning and multiresolution analysis with applications to audio. In short:

What: speech, music, bioacoustics How: multiresolution neural networks in the raw waveform Where: Nantes, France (audio.ls2n.fr) When: negotiable, preferably around September 2025 How long: 12 months, renewable

Please share this announcement to anyone potentially interested.

Apply here before May 10 (Friday next week):

https://emploi.cnrs.fr/Offres/CDD/UMR6004-VINLOS-009/Default.aspx?lang=EN

Do not hesitate to apply if you have yet to receive your PhD degree. We can modify the start date of the contract depending on your needs.

More details below my signature.

Thank you,

Vincent.

Research goals

The primary goal of the postdoc is the invention of new computational methods for deep learning. In particular, work on multiresolution analysis methods, such as discrete wavelet transforms (DWT), is expected.

The primary application of this research is digital audio signal processing, with tasks such as detection, classification, clustering, segmentation, denoising, and synthesis. Extension to other time series, such as biomedical signals, may be considered.

The proposed methods must be innovative and meet specific needs in automatic audio content analysis. In particular, a recurring obstacle in the field lies in the limited amount of annotated data. It will therefore be important to implement judicious properties of inductive bias when developing deep neural network architectures.

The activities are those of a typical postdoctoral fellowship in fundamental research in computer science at the CNRS. These include: writing scientific articles, software development, performing numerical simulations, participating in team meetings, presenting work at conferences and congresses, and scientific leadership within the research community.
Teaching at the École Centrale de Nantes is encouraged but not required.

Open source library: https://github.com/kymatio/murenn

Articles already published to date on this project: https://anr.hal.science/search/index/?q=*&anrProjectReference_s=ANR-23-CE23-0007

Skills

1. Scientific curiosity is essential.
2. An ability to critique, explore, and communicate the state of the art in research is required. Experience in scientific outreach is helpful but not required.
3. Fluency in scientific English, both written and spoken, is required. Fluency in French is helpful but not required.
4. Basic knowledge of signal processing, such as convolution, the discrete Fourier transform, and subsampling, is required. Knowledge of wavelet theory is helpful but not required.
5. Basic knowledge of probability theory, such as Gaussian vectors, the central limit theorem, and Markov's inequality, is required. Knowledge of random matrix theory and learning theory is helpful but not required.
6. Experience in data science, ideally in audio or speech processing, is required. Experience with deep neural networks is helpful but not required.
7. Ability to program in Python, use a command line, and use version control (git). Experience with embedded computing, high-performance computing (GPU-based computing), or parallel computing is helpful but not required.

The researcher will be a member of the Nantes Digital Sciences Laboratory (LS2N), a joint research unit comprised of the CNRS, Nantes University, École Centrale de Nantes, IMT Atlantique, and Inria. See: https://www.ls2n.fr/

Working environment
At LS2N, the researcher will be a member of the "Signal, Image, and Sound" (SIMS) team. See: https://audio.ls2n.fr/

The researcher will work primarily with Vincent Lostanlen and Mathieu Lagrange, both research fellows at the CNRS. Collaboration with the team's doctoral students may be considered.

This contract is part of the "Multi-Resolution Neural Networks" (MuReNN) project, funded by the French National Research Agency (ANR) for the period 2023-2027. The MuReNN project coordinator is Vincent Lostanlen. The other permanent members of the MuReNN consortium are Mathieu Lagrange, Florent de Dinechin (INSA Lyon), Anastasia Volkova (Inria Lyon), and Peter Balazs (Austrian Academy of Sciences). Research visits to Lyon and Vienna are planned during the research contract. 

If you want to know what it's like to work in our team as a non-faculty member, feel free to contact former postdoctoral researcher Changhong Wang (firstname.lastname at telecom-paris.fr) or current PhD student Xiran Zhang (firstname.lastname at ls2n.fr)

For any question regarding the position, please write to Vincent Lostanlen (firstname.lastname at ls2n.fr)

Application portal: https://emploi.cnrs.fr/Offres/CDD/UMR6004-VINLOS-009/Default.aspx?lang=EN