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

Internship: Fast Physics
Damen —Gorinchem
- Fulltime
- Engels
- Python
- Reiskostenvergoeding
ML Engineer
IT Solutions Worldwide —Rotterdam
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- Azure
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Software Architect / Sr Software Engineer
H2L Robotics —Delft
- € 6.000 - € 8.000 per maand
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Software Test Architect
Nearfield Instruments —Rotterdam
- Python
Software Architect
Nearfield Instruments —Rotterdam
- Informatica
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Data Engineer
JINGDONG RETAIL (UK) LIMITED —Rotterdam
- Azure
- Informatica
- Engels
Snel solliciteren
Senior Data Scientist
Nearfield Instruments —Rotterdam
- Engels
- Master
- C++
Power Platform & AI Engineer
Robeco —Rotterdam
- Fulltime
- Azure
- Troubleshooting
- DevOps
Field Install Project Lead
Nearfield Instruments —Rotterdam
- Engels
- Master
- Projectmanagement
Graduation: Automation of Sound level predictions
Damen —Gorinchem
- Fulltime
- Engels
- Analytisch vermogen
- HVAC
- Reiskostenvergoeding
Data Science Consultant
Sia —Rotterdam
- Fulltime
- Hybride werken
- Azure
- Engels
- Master
- Flexibele werkuren
Snel solliciteren
Technical Software Engineer Embedded, Vision, AI en Robotica
24Beta B.V. —Rotterdam
- € 3.500 - € 6.000 per maand
- E-mail
- Engineering
- C++
- Bachelor
Snel solliciteren
Junior Data & AI Engineer
Certify360 EdTech Group —Rotterdam
- € 3.350 - € 3.800 per maand
- Kantoor
- SQL
- Analytisch vermogen
- Reiskostenvergoeding
- Budget voor professionele ontwikkeling
Snel solliciteren
6 dagen
Stagiair AI Fairness & Ethics
Stedin —Rotterdam
- € 675 per maand
- Fulltime
- Engels
- Communicatieve vaardigheden
Consultant Data Engineer
Sia —Rotterdam
- Fulltime
- Hybride werken
- Azure
- DevOps
- Engels
Snel solliciteren
Computational Designer
Boskalis —Papendrecht
- € 2.813 - € 4.593 per maand
- Online sollicitatie
- AutoCAD
- Informatica
- Civiele techniek
Senior Data Science Consultant
Sia —Rotterdam
- Fulltime
- Hybride werken
- Engels
- Master
- Analytisch vermogen
Snel solliciteren
Junior Data Analist
Veneficus B.V. —Rotterdam
- € 2.700 - € 3.300 per maand
- Fulltime
- Java
- Master
- SQL
Snel solliciteren
Full-Stack Data Engineer
Eneco —Rotterdam
- € 83.000 - € 117.000 per jaar
- Hybride werken
- DevOps
- Java
- Databases
- Winstdeling
- Werk vanuit huis

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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 lekkerkerk

Internship: Fast Physics

ML Engineer

Lead Software Engineer (Team Lead) - 2 squads

Software Architect / Sr Software Engineer

Software Test Architect

Software Architect

Data Engineer

Senior Data Scientist

Power Platform & AI Engineer

Field Install Project Lead

Graduation: Automation of Sound level predictions

Data Science Consultant

Technical Software Engineer Embedded, Vision, AI en Robotica

Junior Data & AI Engineer

Stagiair AI Fairness & Ethics

Consultant Data Engineer

Computational Designer

Senior Data Science Consultant

Junior Data Analist

Full-Stack Data Engineer

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

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