20 beste vacatures voor de functie van support engineer in vreeswijk (nieuwe medewerkers gezocht)

Internship: Anomaly Detection for Smart Maintenance
Damen —Gorinchem
- Fulltime
- Engels
- Python
- Reiskostenvergoeding
Support Engineer Junior - Axenia
Axenia —Amersfoort
- E-mail
- ICT
- Communicatieve vaardigheden
Snel solliciteren
11 dagen
Customer Service Data Analyst
GTE —Nieuwegein
- Thuiswerk
- Microsoft Excel
- Analytisch vermogen
Snel solliciteren
Business Analyst (Supply Chain Product)
Kramp GmbH —Utrecht
- Hybride werken
- ERP systemen
- Engels
- Analytisch vermogen
- Winstdeling
- Budget voor professionele ontwikkeling
IT Support Engineer
Koning ICT —Houten
- € 2.500 - € 3.750 per maand
- Parttime
- Azure
- Engels
- Kantoor
- Reiskostenvergoeding
- Werk vanuit huis
Snel solliciteren
Senior Software Engineer
Lab Digital —Utrecht
- € 4.500 - € 5.800 per maand
- Parttime
- Hybride werken
- Azure
- ERP systemen
- AWS
- Flexibele werkuren
IT Support Engineer (1e lijn)
Score Utica —Utrecht
- € 2.548 - € 3.300 per maand
- Fulltime
- Azure
- Reiskostenvergoeding
- Bedrijfsfitness
Data Science Consultant - Hybrid Intelligence
Capgemini —Utrecht
- € 3.100 - € 4.500 per maand
- Parttime
- Hybride werken
- Master
- Analytisch vermogen
- Softwareontwikkeling
- Flexibele werkuren
Junior AI Engineer (Dutch-speaker)
GTE —Nieuwegein
- € 3.000 - € 5.000 per maand
- Fulltime
- Hybride werken
- ERP systemen
- Kantoor
- Python
Snel solliciteren
Detection Quality Engineer
Northwave Cyber Security —Utrecht
- € 3.600 - € 5.800 per maand
- Fulltime
- Hybride werken
- Windows
- Analytisch vermogen
- Bachelor
Snel solliciteren
5 dagen
Product Manager - Moving24
Skydreams —Utrecht
- € 77.700 - € 94.600 per jaar
- Kantoor
- Master
- Analytisch vermogen
Snel solliciteren
Product Owner - QA Platform
Kramp GmbH —Utrecht
- ERP systemen
- Continue verbetering
- Winstdeling
- Budget voor professionele ontwikkeling
Cloud Developer (backend / node.js)
Luscii —Utrecht
- € 4.300 - € 5.900 per maand
- Fulltime
- Thuiswerk
- Informatica
- Informatica
- AWS
- Werk vanuit huis
Snel solliciteren
Microsoft 365 engineer
KWR —Nieuwegein
- E-mail
- Engels
- Bachelor
- SharePoint
- Budget voor professionele ontwikkeling
Project Engineer
ALSTOM —Utrecht
- Microsoft Powerpoint
- Microsoft Excel
- Troubleshooting
Remote Support Engineer Machinebouw
GREEFA —Tricht
- Online sollicitatie
- Hybride werken
- Engels
- ICT
- Winstdeling
- Reiskostenvergoeding
Snel solliciteren
Staff Software Engineer
Dow Jones —Utrecht
- € 70.000 - € 90.000 per jaar
Medior full Stack Developer
Learned —Utrecht
- € 4.000 - € 5.500 per maand
- Fulltime
- Hybride werken
- Bachelor
- JavaScript
- Reiskostenvergoeding
- Budget voor professionele ontwikkeling
Snel solliciteren
Senior MES Consultant Siemens Opcenter
Capgemini Sogeti —Utrecht
- € 3.450 - € 5.600 per maand
- Fulltime
- Hybride werken
- ERP systemen
- Communicatieve vaardigheden
- Flexibele werkuren
IT Support Coordinator
Backroads —Utrecht
- Fulltime
- Azure
- Informatica
- Salesforce

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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

support engineer vacatures in vreeswijk

Internship: Anomaly Detection for Smart Maintenance

Support Engineer Junior - Axenia

Customer Service Data Analyst

Business Analyst (Supply Chain Product)

IT Support Engineer

Senior Software Engineer

IT Support Engineer (1e lijn)

Data Science Consultant - Hybrid Intelligence

Junior AI Engineer (Dutch-speaker)

Detection Quality Engineer

Product Manager - Moving24

Product Owner - QA Platform

Cloud Developer (backend / node.js)

Microsoft 365 engineer

Project Engineer

Remote Support Engineer Machinebouw

Staff Software Engineer

Medior full Stack Developer

Senior MES Consultant Siemens Opcenter

IT Support Coordinator

Ik wil de nieuwste vacature-alerts ontvangen voor de functie van support engineer in vreeswijk

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