진학프로석·박사 채용 접수 플랫폼

This job opening is for postdoctoral research in fundamental data science. The primary mission 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: https://anr.hal.science/search/index/?q=*&anrProjectReference_s=ANR-23-…

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/

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. Here is a list of relevant conferences and workshops to present the results: (in alphabetical order)
- DeepMath
- EUSIPCO
- GRETSI
- ICLR
- IEEE ICASSP
- IEEE WASPAA
- ISMIR
- MSML
- NeurIPS

Here is a list of relevant journals to present the results: (in alphabetical order)
- ACHA
- EURASIP JASMP
- IEEE SPL
- IEEE TASLP
- JASA
- JMLR
- MFML
- SIOPT

The researcher will participate in the activities of the CNRS IASIS ("Information, Learning, Signal, Image, Vision") Research Group, more specifically, its "Audio, Vision, Perception" research area. See: https://www.gdr-isis.fr/

The researcher will have an office shared with another person at the École Centrale de Nantes. He or she will have access to a work computer and hardware. He or she will have access to intensive computing infrastructure, including GPUs.