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

Internship: Anomaly Detection for Smart Maintenance
Damen —Gorinchem
- Fulltime
- Engels
- Python
- Reiskostenvergoeding
Machine Learning Engineer - Recommendation
JD.COM INTERNATIONAL UK LTD —Rotterdam
- Informatica
- Engineering
- Engels
Snel solliciteren
Senior Machine Learning Engineer
Capgemini Sogeti —Utrecht
- Parttime
- Informatica
- Engels
- Machinaal leren
- Reiskostenvergoeding
Machine Learning Engineer
Capgemini Sogeti —Utrecht
- Fulltime
- Azure
- Machinaal leren
- Communicatieve vaardigheden
- Reiskostenvergoeding
- Budget voor professionele ontwikkeling
Machine Learning Engineer - Fulfillment
JD.COM INTERNATIONAL UK LTD —Rotterdam
- Informatica
- Engineering
- Engels
Snel solliciteren
Senior Machine Learning Engineer
Good Company —Utrecht
- Online sollicitatie
- Engels
- Productie
- Python
Software Engineer - Westerdijk Fungal Biodiversity Institute - Utrecht
Koninklijke Nederlandse Akademie van Wetenschappen —Utrecht
- € 3.873 - € 5.264 per maand
- Fulltime
- Doctor
- Informatica
- Master
- Reiskostenvergoeding
Internship: Fast Physics
Damen —Gorinchem
- Fulltime
- Engels
- Python
- Reiskostenvergoeding
Machine Learning Engineer
Capgemini —Utrecht
- Fulltime
- Azure
- Machinaal leren
- Communicatieve vaardigheden
- Reiskostenvergoeding
- Budget voor professionele ontwikkeling
Data engineer | Projectbasis | Machine Learning
MatchMatters BV —Utrecht
- € 4.000 - € 6.500 per maand
- Fulltime
- Hybride werken
- Azure
- DevOps
- SQL
Snel solliciteren
Data Scientist
Artefact —Utrecht
- Hybride werken
- Master
- SQL
- Analytisch vermogen
- Reiskostenvergoeding
- Telefoonplan
Senior Machine Learning Engineer
Capgemini —Utrecht
- Parttime
- Informatica
- Engels
- Machinaal leren
- Reiskostenvergoeding
Lead Machine Learning Engineer
Capgemini Sogeti —Utrecht
- Fulltime
- Azure
- Productie
- Communicatieve vaardigheden
- Reiskostenvergoeding
- Budget voor professionele ontwikkeling
Machine Learning Engineer
Conflux —Utrecht
- Tot € 6.500 per maand
- Online sollicitatie
- Hybride werken
- Azure
- Kantoor
- Master
Snel solliciteren
RPA Developer
Mediq —De Meern
- € 3.600 - € 5.400 per maand
- Fulltime
- Hybride werken
- Informatica
- Engels
- Master
- Reiskostenvergoeding
AI developer
Cleopatra Enterprise —Zwijndrecht
- € 3.500 - € 5.000 per maand
- Fulltime
- Informatica
- Informatica
- Java
14 dagen
Senior Mechanical Engineer
Gyrari B.V. —Vianen
- € 4.500 - € 6.000 per maand
- CAD
- Microsoft Office
- Bachelor
- Kosteloos parkeren
- Reiskostenvergoeding
Snel solliciteren
14 dagen
AI Consultant | LLM, RAG & Machine Learning
MatchMatters BV —Asperen
- € 3.750 - € 5.500 per maand
- Fulltime
- Azure
- Kantoor
- Master
Snel solliciteren
Lead Machine Learning Engineer
Capgemini —Utrecht
- Fulltime
- Azure
- Productie
- Communicatieve vaardigheden
- Reiskostenvergoeding
- Budget voor professionele ontwikkeling
Lead Software Engineer (Team Lead) - 2 squads
C Teleport —Rotterdam
- Hybride werken
- ERP systemen
- Databases
- AWS

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Internship: Anomaly Detection for Smart Maintenance

Damen -
Gorinchem

Nu solliciteren

Vacaturegegevens

Fulltime

Secundaire arbeidsvoorwaarden

Reiskostenvergoeding

Kwalificaties

Toegepaste wiskunde
Wiskunde
Engels
Python
Datawetenschappen

Volledige vacaturetekst

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

About us

Damen aims to become the world's most sustainable and digitally connected shipyard. The Research, Development & Innovation (RD&I) department develops and implements the technology and know-how to achieve these ambitions. We actively assist the business in creating an innovative product portfolio and provide forward-thinking guidance to improve the quality and performance of Damen's products and services. You will be joining the Data Science team within Damen RD&I located in Gorinchem. Our department focuses on applying cutting-edge data and AI solutions to Damen's shipbuilding and maritime operations. The team includes domain experts in physics-informed machine learning, simulation acceleration, predictive maintenance, computer vision, and operational analytics. This internship is part of Smart Maintenance, a strategic project aimed at using AI to detect abnormal equipment behavior on board vessels before it leads to failure or unplanned downtime.

The role

As an intern, you will work on our Smart Maintenance project where we have developed a n anomaly detection algorithm, which aims to help engineers spot early signs of equipment problems, such as engines, pumps, propulsion and cooling systems, before they escalate into failures. Vessels generate huge amounts of sensor data during operation, and our goal is to turn that data into reliable, trustworthy signals that support maintenance decisions. You will contribute to an existing pipeline that learns what "healthy" equipment behavior looks like and flags deviations from it. Your primary focus will be on a dedicated research topic, to be selected together with the team, that strengthens a specific part of this pipeline — from data selection to detection reliability, health trending, explainability, or deployment. There is room to shape the exact topic based on your interests and background, either before or shortly after you start. This can be a thesis/graduate internship and could start from September onwards.

Possible research topics that we offer, on which the final scope is to be defined together:

Model transferability across vessels: exploring how an anomaly detection model trained on one vessel can be adapted to other vessels, machinery types, or operating environments — including retraining, recalibration, and drift detection strategies.

Reliable anomaly detection: improving detection models to minimize false alarms, adapt to different operating conditions, handle transient events, and quantify prediction confidence.

Health and degradation trending: moving beyond fault detection to identify gradual performance degradation, developing health indicators that give early warning of wear or efficiency loss.

Explainable AI and fault diagnosis: making anomaly models explainable, identifying which sensors or components drive an alert, and supporting root-cause analysis for engineers.

Defining "healthy" operation: identifying , selecting, and validating representative data from vessels operating under normal conditions, accounting for varying operating modes and environmental influences.

Key accountabilities

As an intern, you will:

Support the development and improvement of ML-based anomaly detection models for vessel equipment.

Preprocess and analyze sensor/time-series data from onboard systems.

Run experiments in Python, evaluating model performance against real and/or simulated data.

Work closely with our Data Scientists, maintenance engineers, and vessel operations stakeholders.

Document results and present findings to the team regularly.

Skills & Experience
We are looking for a student who:

Is currently pursuing a Bachelor or Master in Data Science , Applied Mathematics, Computer Science, Mechanical/Electrical Engineering, or a related technical field.

Ideally combines data science with a mechanical/electrical engineering background, with the ability to model equipment behavior and understand which sensors are informative for which failure modes.

Has experience with Statistics, Python, and ideally with machine learning (LSTMs) or time-series analysis.

Has an interest in predictive maintenance, sensor data or industrial/marine systems.

Is comfortable working with real-world, sometimes messy, operational data.

Communicates fluently in English.

What we offer

Mentoring at academic level throughout the internship.

Internship/graduation fee and travel allowance for the duration of the assignment.

Opportunity to contribute to a high-impact predictive maintenance project used in real vessel operations.

Research publication is likely possible with a possible extension of the internship period.

Exposure to a multidisciplinary team combining data science and maritime engineering expertise .

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

Internship: Anomaly Detection for Smart Maintenance

Machine Learning Engineer - Recommendation

Senior Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer - Fulfillment

Senior Machine Learning Engineer

Software Engineer - Westerdijk Fungal Biodiversity Institute - Utrecht

Internship: Fast Physics

Machine Learning Engineer

Data engineer | Projectbasis | Machine Learning

Data Scientist

Senior Machine Learning Engineer

Lead Machine Learning Engineer

Machine Learning Engineer

RPA Developer

AI developer

Senior Mechanical Engineer

AI Consultant | LLM, RAG & Machine Learning

Lead Machine Learning Engineer

Lead Software Engineer (Team Lead) - 2 squads

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

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