Numerical & Experimental Aeroacoustics and Noise Control (internship)

Overview

• Location: Champs-sur-Marne, France (On-site / Hybrid)
• Compensation: Paid internship

Company

Echo Silence is a Paris-based DeepTech startup developing acoustic metamaterial solutions for advanced industrial noise control. Our technologies target aeroacoustics noise from fans, ducts, HVAC systems, and industrial equipment, combining numerical modeling, experimental validation, and scalable design. The company is supported by leading European innovation programs and works closely with industrial partners in energy, mobility, and infrastructure.

Internship Scope

We are looking for a motivated intern to contribute to numerical and experimental aeroacoustics with a focus on fan- and duct-related noise control using acoustic metamaterials. The internship will support ongoing proof-of-concept (PoC) and R&D activities.

Responsibilities

• Perform numerical aeroacoustics and acoustic simulations (e.g. COMSOL Multiphysics) for ducts, enclosures, and fan-related noise.
• Model and optimize acoustic metamaterial-based treatments for noise attenuation.
• Support experimental measurements and validation (laboratory testing, data analysis).
• Contribute to PoC development and technical documentation.
• Analyze results and present findings to the R&D team.

Qualifications

• Education: Master’s level (M1 or M2) in Acoustics, Engineering, Physics, or related field.
• Technical Skills:
  • Experience with numerical acoustics (COMSOL or equivalent).
  • Knowledge of aeroacoustics, duct acoustics, or noise control.
  • Experimental acoustics experience is a plus.
• Attributes: Analytical mindset, autonomy, and strong interest in applied industrial acoustics.
• Languages: English required; French is a plus.

What We Offer

• Hands-on experience in industrial aeroacoustics and metamaterials.
• Exposure to both simulation and experimental work.
• Direct involvement in real-world industrial noise control projects.
• Mentorship within a fast-growing DeepTech startup.

How to Apply

Please send your CV and any relevant academic or project work to:

Applications are reviewed on a rolling basis. Early submissions are encouraged.