Missions

This job offer concerns fundamental research work in the field of data science. The main mission is the invention of new computational methods for deep learning. More specifically, it will involve carrying out research in digital audio signal processing for the reduction of discomfort in open workspaces. The proposed methods must be innovative and meet specific needs in automatic synthesis of audio content. In particular, a recurring obstacle in the field lies in the limited capacity of neural synthesis methods to adapt to real-time constraints.

Activities

The activities are those of a fundamental research activity in computer science at the CNRS. In particular: writing scientific articles, software development, carrying out numerical simulations, participating in team meetings, presenting work at conferences and congresses, scientific animation of the research community. More specifically, implementations of:
- 1 tool for synthesizing environmental sound scenes in python
- 2 experimental protocols
- 3 tools for reducing annoyance

Skills

1. Scientific curiosity is essential.
2. An ability to critique, delve into, and communicate the state of the art in research is required. Experience in scientific mediation is useful but not required.
3. Fluency in scientific English, both written and spoken, is required. Fluency in French is useful but not required.
4. Basic knowledge of signal processing.
5. Experience in data science, ideally in audio or speech processing, is required. Experience in deep neural networks is useful but not required.
6. Ability to program in Python, use a command line, and use version control (git). Experience in intensive computing (GPU type), or parallel computing is useful but not required.
7. Ability to organize perceptual tests to evaluate the relevance of the developed algorithms

Work Context

The researcher will be a member of the Laboratoire des Sciences du Numérique de Nantes (LS2N), a joint research unit whose components are: 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 et Son" (SIMS) team. See: https://audio.ls2n.fr/ The researcher will work mainly with Mathieu Lagrange, a researcher at the CNRS. Work with the team's doctoral students may be considered. The researcher will participate in the activities of the CNRS IASIS GdR ("Information, Learning, Signal, Image, ViSion"), more specifically, its "Audio, Vision, Perception" axis. See: https://www.gdr-isis.fr/ The researcher will have an office shared with another person, on the École Centrale de Nantes site. He or she will have access to a work computer as well as computer equipment. He or she will have access to a high-performance computing infrastructure, including GPUs.

Constraints and risks

This contract does not involve isolated work, intense physical effort, or handling robotic machines. This contract involves a significant amount of screen work, resulting in well-documented occupational risks: mainly musculoskeletal disorders, lower back pain, visual fatigue, and stress. Faced with these risks, we propose to act on the layout of the workstation, the choice of equipment, and the organization of work. Read in particular: https://www.inrs.fr/risques/travail-ecran/ce-qu-il-faut-retenir.html The researcher will not be exposed to toxic products, pathogens, noise, vibrations, dangerous radiation, or high-voltage electricity. The researcher is expected to go on mission in France or abroad two to three times a year. Dates and destinations remain to be negotiated according to the researcher's personal constraints. The risks of falling, fire or electrocution are low, and subject to control by the laboratory's prevention assistants.