Graduation: Automation of Sound level predictions

823 Damen Research Development & Innovation B.V.; Gorinchem; On-site; EUR 5,580 - 13,392; Full time

Benefits offered by this job

Academic level mentoring

Internship compensation

Travel allowance

Job summary

823 Damen Research Development & Innovation B.V. is offering an exciting internship in Acoustic Analysis located in Gorinchem, Netherlands. As an intern in the Sound & Vibrations Research Team, you will develop tools to analyze acoustic sources from sea trials, contributing to vital projects within the marine domain.

We seek a University Master student specializing in fields like Naval Architecture or Mechanical Engineering, possessing strong programming skills in MATLAB or Python and an affinity for acoustics and signal processing. The internship includes mentorship and relevant compensation.

Qualifications

• University Master student in a relevant field.
• Affinity with acoustics and harmonic analysis.
• Strong programming skills in either MATLAB or Python.

Responsibilities

• Develop a methodology to analyze time-domain data from sea trials.
• Create a model that classifies acoustic sources from recordings.
• Deliver documentation based on Damen sea-trial data.

Skills

Affinity with acoustics

Strong programming skills in MATLAB or Python

Familiarity with signal processing and machine-learning frameworks

Analytical mindset

Mastery of English (spoken and written)

Education

University Master student in Naval Architecture, Maritime Technology, Mechanical Engineering, Applied Physics or related field

Tools

MATLAB

Python

Job description

We are a leading shipbuilder offering an exciting internship in Acoustic Analysis.

About the Role

As an intern in the Sound & Vibrations Research Team, you will develop a methodology to analyze time‑domain data from sea trials and build a prototype tool to identify and characterize acoustic sources.

Project Objective

Develop a method and build a tool that processes audio recordings from sea trials to automatically:

• Identify acoustic sources (diesel engine, electric motor, propeller, cavitation, turbulence, pump/HVAC, etc.)
• Determine source characteristics (rotational speed/RPM, number of blades/cylinders, etc.)
• Quantify the acoustic contribution per source (level, spectrum, and derived metrics)
• Perform source separation to isolate each detected source’s contribution

The final result will be a prototype that supports acoustic experts in analysis, troubleshooting, and design validation.

Key Accountabilities

• Create a model that classifies acoustic sources from time‑domain recordings of pressures, accelerations, etc.
• Define source‑specific outputs such as RPM, number of blades, and number of cylinders.
• Develop a prototype application in Python/MATLAB.
• Deliver documentation and evaluation based on real Damen sea‑trial data.

Skills & Experience

• University Master student in Naval Architecture, Maritime Technology, Mechanical Engineering, Applied Physics or related field.
• Affinity with acoustics, spectrograms, and harmonic analysis.
• Familiarity with signal processing and machine‑learning frameworks.
• Analytical mindset.
• Strong programming skills in MATLAB or Python.
• Mastery of English (spoken and written).

What we offer

• Academic level mentoring throughout the internship.
• Internship compensation and travel allowance in line with company policy.
• Project with direct relevance to multiple business functions and future digital products.
• Potential for internal rollout and possibly a publication or conference contribution.

Application

Due to housing issues we cannot accept international students without accommodation in the Netherlands. Please apply through the Apply button and do not send applications by email.

Equal Opportunity

We are committed to equal opportunity and inclusion. All qualified applicants will receive consideration for employment.