20 beste vacatures voor de functie van machine learning in schoonhoven (nieuwe medewerkers gezocht)

Graduation: Automation of Sound level predictions
Damen —Gorinchem
- Fulltime
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Robotics Architect | Strategy & Innovation Team | English
Viscon Group —'s-Gravendeel
- Fulltime
- Doctor
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- Flexibele werkuren
Data Scientist / Machine Learning Engineer
Sopra Steria —Nieuwegein
- € 4.000 - € 6.000 per maand
- Hybride werken
- Azure
- DevOps
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- Winstdeling
- Zorgverzekering
Snel solliciteren
Data/Software Traineeship
educom —Utrecht
- Vanaf € 3.000 per maand
- Parttime
- Hybride werken
- DevOps
- Java
- SQL
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Snel solliciteren
2 dagen
Data engineer | Lange projecten | Machine Learning
MatchMatters BV —Utrecht
- € 40 - € 65 per maand
- Fulltime
- Hybride werken
- Azure
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Snel solliciteren
Data Scientist
Capgemini —Utrecht
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Data Engineer
ALSTOM —Ridderkerk
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14 dagen
Consultant for our office in Utrecht
d-fine GmbH —Utrecht
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LLM/Data Engineer
Brainbay —Utrecht
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- Master
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Senior Data Scientist
Capgemini —Utrecht
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Junior AI Engineer
GRID | individuals —Drechtsteden
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Lead Software Developer | Utrecht | 40 uur
Fullwood JOZ —Utrecht
- € 5.000 - € 6.500 per maand
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Product Owner - Billing Squad
C Teleport —Rotterdam
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- ERP systemen
AI Engineer
Capgemini —Utrecht
- Parttime
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Data Scientist
Capgemini Sogeti —Utrecht
- Fulltime
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Software Engineer
Cordys Analytics —Utrecht
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Machine Learning Engineer | Python | AI | Data
MatchMatters BV —Utrecht
- € 35 - € 55 per maand
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Snel solliciteren
Software Engineer Java / Rust
Technolution —Gouda
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Data Engineer
JINGDONG RETAIL (UK) LIMITED —Rotterdam
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AI Engineer
Capgemini Sogeti —Utrecht
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Graduation: Automation of Sound level predictions

Damen -
Gorinchem

Nu solliciteren

Vacaturegegevens

Fulltime

Secundaire arbeidsvoorwaarden

Reiskostenvergoeding

Kwalificaties

MATLAB
Signaalverwerking
Engels
Analytisch vermogen
HVAC
Scripting
Python

Volledige vacaturetekst

We offer you an Ocean of Possibilities . Join our family.

About us

At Damen, much effort is put into designing silent and comfortable ships. Therefore, sound level predictions are made to judge the feasibility of each design. This of course asks for accurate prediction methods.

Aspects covered in these prediction methods are:

The prediction of structure borne as well as airborne excitation levels of diesel engines, gearboxes, generator sets, propellers, etc.
Predicting the dynamic response of the ship structure, such as the input mobility of the engine foundation and the transfer of vibrations through the ship structure.
Prediction of attenuations due to acoustic countermeasures, such as resilient mountings, floating floors, visco-elastic damping, additional absorption, etc.
Prediction of radiation of lining and absorption of the sound levels in the cabins.
Prediction methods always need validation by means of measurements. For this purpose, use is made of advanced measurement equipment.

Within the RD&I department, the research team Sound & Vibrations is dedicated to the development of these tools. One of the team members of this team will act as daily supervisor.

The role

During Damen sea trials, extensive datasets are collected (audio, accelerations, operational parameters). Analyzing these data is labor-intensive and highly dependent on expert knowledge. By using automatization, source identification and characterization can be (partly) automated. This leads to faster interpretation of noise measurements and objective detection of critical events (cavitation, resonances, out-of-tolerance behavior). All in all, better linkage between measurements, modeling (SEA/FEM), and design parameters.

Your work as an intern is to develop the required methodology to analyze the time domain data and demonstrate the method in a tool.

Project Objective
Develop a method and build a tool that analyzes an audio recording from a sea trial and automatically:

Identifies acoustic sources (diesel engine, electric motor, propeller, cavitation, turbulence, pump/HVAC, etc.).
Determines source characteristics (rotational speed/RPM, number of blades/cylinders, etc.).
Quantifies the acoustic contribution per source (level, spectrum, and derived metrics).
Performs source separation (acoustic representation of the contribution of each detected source).

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

Key accountabilities
As an intern, you will:

Create a model that classifies acoustic sources in an time domain recording of pressures, accelerations, etc.
Define source-specific output such as RPM, number of blades, and number of cylinders
Create a prototype application (Python/MATLAB)
Deliver documentation and evaluation based on real Damen sea trial data

Skills & Experience

This assignment is intended for a University Master student Naval Architecture / Maritime Technology / Mechanical Engineering / Applied Physics with:

Affinity with acoustics such as spectrograms and harmonic analysis
Familiarity with signal processing and Machine Learning frameworks
Analytical oriented mind set
Good programming/scripting skills in Matlab/Python
Mastery of the English language (spoken and written)

What we offer

Academic level mentoring throughout the internship

Internship compensation and travel allowance in line with company policy

A project with direct relevance to multiple business functions and future digital products

Potential for internal rollout, and possibly a publication or conference contribution depending on results

Other

Are you ready to sail into your new adventure at Damen? Don’t hesitate, send us your motivation letter and resume here.

Due to housing issues we cannot accept international students that do not have accommodation in the Netherlands yet.

Recruiter:

Liselotte van Veenendaal

Email:

[email protected]

Please apply through the Apply Button. Due to GDPR reasons we cannot accept applications by email.

Nu solliciteren

Verfijn je zoekopdracht

machine learning vacatures in schoonhoven

Graduation: Automation of Sound level predictions

Robotics Architect | Strategy & Innovation Team | English

Data Scientist / Machine Learning Engineer

Data/Software Traineeship

Data engineer | Lange projecten | Machine Learning

Data Scientist

Data Engineer

Consultant for our office in Utrecht

LLM/Data Engineer

Senior Data Scientist

Junior AI Engineer

Lead Software Developer | Utrecht | 40 uur

Product Owner - Billing Squad

AI Engineer

Data Scientist

Software Engineer

Machine Learning Engineer | Python | AI | Data

Software Engineer Java / Rust

Data Engineer

AI Engineer

Ik wil de nieuwste vacature-alerts ontvangen voor de functie van machine learning in schoonhoven

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