Automated Room Acoustic Diagnostics: Inverse Methods

1000scholars; Strasbourg; On-site; EUR 10,000 - 15,000; Full time

Job summary

The research internship takes place in Strasbourg, France, at Cerema’s offices. It lasts one month and involves inverse acoustic parameter estimation through measurements, modelling, and data-driven approaches.

Supervisors include Antoine Deleforge (Inria) and Cédric Foy (Cerema), with contact emails provided. The project blends acoustics, signal processing, and machine learning, and offers hands-on Python programming opportunities.

Qualifications

• Master's level in computer science, signal processing, acoustics or applied math.
• Strong background in Python; MATLAB is a plus.
• Interest in acoustics and inverse problems.

Responsibilities

• Consolidate previous results on room acoustics.
• Write a scientific article for publication.
• Python programming tasks related to data and models.
• Bibliographical studies and literature review.

Skills

Optimization methods

Signal processing

Machine learning

Deep Learning

Education

Master's level in relevant field

Tools

Python

Matlab

Job description

The research internship takes place in Strasbourg, France, at Cerema’s offices. It lasts one month and involves inverse acoustic parameter estimation through measurements, modelling, and data-driven approaches.

Supervisors include Antoine Deleforge (Inria) and Cédric Foy (Cerema), with contact emails provided. The project blends acoustics, signal processing, and machine learning, and offers hands-on Python programming opportunities.