20 beste vacatures voor de functie van field application in woudrichem (nieuwe medewerkers gezocht)

Internship: Anomaly Detection for Smart Maintenance
Damen —Gorinchem
- Fulltime
- Engels
- Python
- Reiskostenvergoeding
Field Service Technician - Data Center
Johnson Controls —Gorinchem
- Engels
- Communicatieve vaardigheden
- Flexibele werkuren
Change Manager
Damen —Gorinchem
- € 4.500 - € 6.000 per maand
- Fulltime
- ERP systemen
- Engels
- Master
Head of Service
Rolls-Royce Power Systems AG —Dordrecht
- € 80.000 - € 120.000 per jaar
- Fulltime
- Engineering
- Engels
- Master
Field Service Technician - Data Centers
Rolls-Royce Power Systems AG —Dordrecht
- € 3.500 - € 4.500 per maand
- Overwerk
- Engels
- Winstdeling
SAP ABAP Cloud Consultant - Nederland
Amax SA —Den Bosch
- € 50.000 - € 100.000 per jaar
- Fulltime
- Informatica
- DevOps
- SQL
Snel solliciteren
7 dagen
Customer Support Technician, Dutch
Enphase Energy —Den Bosch
- Hybride werken
- Salesforce
- Engels
- Microsoft Office
10 dagen
Global Key Account Leader - Electrical Distribution (EMEA)
Eaton —Zaltbommel
- Verkoopervaring
- Salesforce
- Engels
Teamlead Field & Production Coordinator
Circana Netherlands —Zaltbommel
- Hybride werken
- Microsoft Excel
- Engels
- Projectmanagement
Snel solliciteren
KWR is looking for a Water Awareness Behavioral Researcher (32-40 hours)
KWR —Nieuwegein
- Parttime
- Schrijfvaardigheden
- Engels
- Analytisch vermogen
Technical Specialist
Rolls-Royce Power Systems AG —Dordrecht
- € 4.900 - € 6.200 per maand
- Fulltime
- Microsoft Excel
- Engels
- Bachelor
- Winstdeling
Business Analyst
Stahl Holdings B.V. —Waalwijk
- € 5.076 - € 6.537 per maand
- Microsoft Excel
- Engels
- Financiën
- Reiskostenvergoeding
- Zorgverzekering
13 dagen
AI developer
Cleopatra Enterprise —Zwijndrecht
- € 3.500 - € 5.000 per maand
- Fulltime
- Informatica
- Informatica
- Java
13 dagen
Teamlead Field & Production Coordinator
Circana —Zaltbommel
- Fulltime
- Microsoft Excel
- Engels
- Projectmanagement
(Sr.) Field Application Engineer
Super Micro Computer —Den Bosch
- Informatica
- Informatica
- Engineering
Financial Controller
Stahl Holdings B.V. —Waalwijk
- € 5.789 - € 6.797 per maand
- Microsoft Excel
- ERP systemen
- Microsoft Office
- Reiskostenvergoeding
- Zorgverzekering
13 dagen
Risk Manager
Damen —Gorinchem
- € 4.500 - € 6.000 per maand
- Fulltime
- Engels
- Master
- Bachelor
HSE Manager (m/f/d)
MB Energy —Waardenburg
- Parttime
- Engels
Manufacturing Engineer - Product
GKN Aerospace —Papendrecht
- Tot € 5.561 per maand
- Online sollicitatie
- Engineering
- Engels
- Analytisch vermogen
- Reiskostenvergoeding
Global Snacks Category Manager
Kalsec, Inc. —Waalwijk
- Hybride werken
- Marketing
- Salesforce
- Microsoft Office
Snel solliciteren

Ik wil de nieuwste vacature-alerts ontvangen voor de functie van field application in woudrichem

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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.

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field application vacatures in woudrichem

Internship: Anomaly Detection for Smart Maintenance

Field Service Technician - Data Center

Change Manager

Head of Service

Field Service Technician - Data Centers

SAP ABAP Cloud Consultant - Nederland

Customer Support Technician, Dutch

Global Key Account Leader - Electrical Distribution (EMEA)

Teamlead Field & Production Coordinator

KWR is looking for a Water Awareness Behavioral Researcher (32-40 hours)

Technical Specialist

Business Analyst

AI developer

Teamlead Field & Production Coordinator

(Sr.) Field Application Engineer

Financial Controller

Risk Manager

HSE Manager (m/f/d)

Manufacturing Engineer - Product

Global Snacks Category Manager

Ik wil de nieuwste vacature-alerts ontvangen voor de functie van field application in woudrichem

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