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

Internship: Fast Physics
Damen —Gorinchem
- Fulltime
- Engels
- Python
- Reiskostenvergoeding
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 Mechanical Engineer
Gyrari B.V. —Vianen
- € 4.500 - € 6.000 per maand
- CAD
- Microsoft Office
- Bachelor
- Kosteloos parkeren
- Reiskostenvergoeding
Snel solliciteren
13 dagen
Lead Software Engineer (Team Lead) - 2 squads
C Teleport —Rotterdam
- Hybride werken
- ERP systemen
- Databases
- AWS
Graduation: Automation of Sound level predictions
Damen —Gorinchem
- Fulltime
- Engels
- Analytisch vermogen
- HVAC
- Reiskostenvergoeding
Robotics Architect | Strategy & Innovation Team | English
Viscon Group —'s-Gravendeel
- Fulltime
- Doctor
- Informatica
- Engels
- Budget voor professionele ontwikkeling
- Flexibele werkuren
Data/Software Traineeship
educom —Utrecht
- Vanaf € 3.000 per maand
- Parttime
- Hybride werken
- DevOps
- Java
- SQL
- Dienstreizen vergoeding
- Reiskostenvergoeding
Snel solliciteren
1 dag
Data engineer | Lange projecten | Machine Learning
MatchMatters BV —Utrecht
- € 40 - € 65 per maand
- Fulltime
- Hybride werken
- Azure
- DevOps
- Kantoor
Snel solliciteren
Data Scientist
Capgemini —Utrecht
- Parttime
- Data-analyse
- Engels
- Machinaal leren
- Reiskostenvergoeding
Data Engineer
ALSTOM —Ridderkerk
- € 3.900 - € 5.450 per maand
- Fulltime
- Hybride werken
- Azure
- Informatica
- DevOps
- Mentale gezondheidszorgprogramma's
13 dagen
LLM/Data Engineer
Brainbay —Utrecht
- € 4.476 - € 6.393 per maand
- Fulltime
- Hybride werken
- Engels
- Master
- Databases
- Kosteloos parkeren
- Reiskostenvergoeding
Senior Software Engineer – Product Content Automation
Kramp GmbH —Utrecht
- Java
- AI
- Python
- Winstdeling
- Budget voor professionele ontwikkeling
12 uur
Senior Data Scientist
Capgemini —Utrecht
- Parttime
- Data-analyse
- Engels
- Machinaal leren
- Reiskostenvergoeding
Junior AI Engineer
GRID | individuals —Drechtsteden
- € 3.300 - € 4.200 per maand
- Informatica
- Engineering
- Engels
Product Owner - Billing Squad
C Teleport —Rotterdam
- Hybride werken
- Informatica
- Informatica
- ERP systemen
AI Engineer
Capgemini —Utrecht
- Parttime
- Azure
- Data-analyse
- Engels
- Reiskostenvergoeding
Data Scientist
Capgemini Sogeti —Utrecht
- Fulltime
- Data-analyse
- Analytisch vermogen
- Machinaal leren
- Reiskostenvergoeding
- Budget voor professionele ontwikkeling
Software Engineer
Cordys Analytics —Utrecht
- Fulltime
- Hybride werken
- Informatica
- DevOps
- Kantoor
- Werk vanuit huis
- Flexibele werkuren
Snel solliciteren
Machine Learning Engineer | Python | AI | Data
MatchMatters BV —Utrecht
- € 35 - € 55 per maand
- Fulltime
- Hybride werken
- Azure
- SQL
- AWS
- Flexibele werkuren
Snel solliciteren

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Internship: Fast Physics

Damen -
Gorinchem

Nu solliciteren

Vacaturegegevens

Fulltime

Secundaire arbeidsvoorwaarden

Reiskostenvergoeding

Kwalificaties

TensorFlow
Toegepaste wiskunde
PyTorch
Werktuigbouwkunde
Wiskunde
Engels
Deep learning
Python

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 a strategic project aimed at accelerating complex simulations for ship performance using machine learning and graph-based AI.

The role

As an intern, you will work on the Fast Physics project, which aims to drastically reduce the runtime of high-fidelity computational fluid dynamics (CFD) simulations of ship hulls. These simulations are essential in predicting how a vessel behaves in water, but they can take hours to compute. Instead of running time-consuming physics-based simulations, we use geometric deep learning , a type of machine learning that can learn from vessel designs and quickly estimate results like water resistance or flow around the hull. The outcome is a working prototype that can support early-stage design exploration and simulation optimization.

You will contribute to enhancing the performance of an existing system that predicts physical quantities , such as ship resistance and flow fields , based on geometry and operating conditions. Your primary focus will be on a dedicated topic involving the training, validation, and extension of the framework to support multiple ship types and/ or varying levels of simulation fidelity . The assignment can be a thesis/graduate internship and could start from September onwards .

Key accountabilities

You will be responsible for the following aspects:

Support the improvement of ML -based frameworks , focusing on geometric deep learning and graph neural networks.

Preprocess CFD simulation data and ship hull geometries.

Run experiments in Python using PyTorch .

Work closely in our team together with Data Scientists , domain knowledge naval architects, and external partners such as MARIN.

Document results and present findings to the team regularly.

Skills & Experience

We are looking for a student who:

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

Has experience with Python , and ideally deep learning frameworks such as PyTorch or TensorFlow.

Has familiarity with 3D geometry formats or CFD simulation and numerical data.

Has a strong interest in physics-based modeling and applying AI to engineering problems.

Communicates fluently in English.

What we offer

Mentoring at academic level will be available throughout the internship.

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

Opportunity to contribute to a high-impact innovation project in collaboration with leading maritime companies, institutes and universities.

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

Possibility to visit partner hubs or research centers (e.g., MARIN in Wageningen) depending on project needs and availability

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: Fast Physics

Data engineer | Projectbasis | Machine Learning

Data Scientist

Senior Mechanical Engineer

Lead Software Engineer (Team Lead) - 2 squads

Graduation: Automation of Sound level predictions

Robotics Architect | Strategy & Innovation Team | English

Data/Software Traineeship

Data engineer | Lange projecten | Machine Learning

Data Scientist

Data Engineer

LLM/Data Engineer

Senior Software Engineer – Product Content Automation

Senior Data Scientist

Junior AI Engineer

Product Owner - Billing Squad

AI Engineer

Data Scientist

Software Engineer

Machine Learning Engineer | Python | AI | Data

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

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