Electroacoustic Engineer (M/F) on ANR SLAM project

Job Description

Missions

The candidate will be responsible for creating a database of measurements for electrodynamic loudspeakers, which will be used to train deep learning models.

The parameters to be measured will include the loudspeaker's input electrical impedance, the diaphragm displacement, and the on-axis sound pressure.

Measurements will be taken in both the linear and nonlinear operating ranges of the loudspeakers.

A labeled database will then be created, along with Python scripts to enable quick access to the data. This database will subsequently be made available online.

In parallel with this work, a literature review on modeling the behavior of electrodynamic loudspeakers using deep learning will be conducted.

Initial deep learning algorithms will then be proposed in Python.

Activity

Conducting measurements for the database (linear and nonlinear domains)

Data labeling and formatting

Bibliography on the subject

Development of deep learning algorithms.

Your Profil

Skills

The candidate must have strong knowledge in the following areas: Acoustics, signal processing, and deep learning.

Experience in measuring the characteristics of electrodynamic transducers is preferred.

Strong writing and analytical skills are essential.

Ability to work independently

Your Work Environment

The successful candidate will join the Acoustics Laboratory at the University of Le Mans (LAUM), a joint research unit between Le Mans University and the CNRS (UMR 6613, Section 11 of the INSIS—Institute of Engineering and Systems Sciences). LAUM has approximately 160 members, including 60 permanent researchers and faculty members. It is a leading laboratory in acoustics, equipped with a unique set of facilities for general acoustics. The laboratory is affiliated with the CNRS, the French National Center for Scientific Research.

The work will be carried out in close collaboration with Hyvibe, a French company specializing in vibration control based in Paris.

The successful candidate will join the “Transducers” team at LAUM (Le Mans University), whose research activities focus primarily on the study of transducers (sensors, actuators, energy converters), the development of measurement benches (digital holography, metrology), and associated signal processing.

The candidate will work under the supervision of Prof. Manuel Melon in close collaboration with team members and engineers from Hyvibe, as part of the SLAM project supported by the ANR.

The position falls under the Scientific and Technical Potential Protection (PPST) sector and therefore, in accordance with regulations, requires that your appointment be authorized by the competent authority at the Ministry of Higher Education and Research (MESR).

Constraints and risks

No specific risks have been identified. Travel to Paris is expected for collaboration with the company Hyvibe. Travel within France and/or abroad for conferences is also expected. These travel expenses will be covered by the project.

Compensation and benefits

Compensation

2 496,98 à 2 879,38 € gross / month following experience

Annual leave and RTT

44 jours

Remote Working practice and compensation

Pratique et indemnisation du TT

Transport

Prise en charge à 75% du coût et forfait mobilité durable jusqu’à 300€

About the offer

About the CNRS

The CNRS is a major player in fundamental research on a global scale. The CNRS is the only French organization active in all scientific fields. Its unique position as a multi-specialist allows it to bring together different disciplines to address the most important challenges of the contemporary world, in connection with the actors of change.

CNRS

The research professions