20 beste vacatures voor de functie van deep learning in stolwijk (nieuwe medewerkers gezocht)

Internship: Fast Physics
Damen —Gorinchem
- Fulltime
- Engels
- Python
- Reiskostenvergoeding
Consultant Industrial Automation
Capgemini —Utrecht
- € 3.600 - € 5.300 per maand
- Parttime
- Hybride werken
- Programmable logic controllers
- Communicatieve vaardigheden
- Flexibele werkuren
Finance Manager
GKN Aerospace —Papendrecht
- ERP systemen
- Engels
- Analytisch vermogen
AWS Pre-Sales Architect
Noventiq Northern Europe —Nieuwegein
- € 5.000 - € 7.000 per maand
- Fulltime
- Microsoft Excel
- Management
- DevOps
- Budget voor professionele ontwikkeling
- Flexibele werkuren
Senior AI Engineer (Libra - Legal AI Assistant) (m/w/d)
Wolters Kluwer —Alphen aan den Rijn
- Fulltime
- Hybride werken
- Engels
- Master
- APIs
- Werk vanuit huis
- Taaltraining aangeboden
Lead Software Engineer (Team Lead) - 2 squads
C Teleport —Rotterdam
- Hybride werken
- ERP systemen
- Databases
- AWS
Online Marketer Germany
Wellis —Rotterdam
- € 3.800 - € 5.200 per maand
- Fulltime
- Hybride werken
- Analytisch vermogen
- Bachelor
- Marketing
- Budget voor professionele ontwikkeling
Snel solliciteren
3 dagen
Railway Safety Engineer
Pilz —Vianen
- € 3.750 - € 5.000 per maand
- Engels
- Programmable logic controllers
- Python
- Kosteloos parkeren
Production Engineer
Nearfield Instruments —Rotterdam
- Troubleshooting
- Master
- Analytisch vermogen
Group Controller
Nearfield Instruments —Rotterdam
- Fulltime
- ERP systemen
- Financiën
- Master
Culinary Intern (f/m/x)
Alumni Network Job Board —Rotterdam
- Hybride werken
- Engels
- Stage
- Bedrijfsfitness
Senior DevOps Engineer (Sailpoint IIQ)
Swisscom —Rotterdam
- € 70.000 - € 80.000 per jaar
- Fulltime
- Hybride werken
- Informatica
- DevOps
- Engels
- Reiskostenvergoeding
- Taaltraining aangeboden
Enterprise Customer Success Manager - Benelux
Trustpilot —Rotterdam
- Engels
- Stage
- Marketing
- Mentale gezondheidszorgprogramma's
Customer Service Data Analyst
GTE —Nieuwegein
- Thuiswerk
- Microsoft Excel
- Analytisch vermogen
Snel solliciteren
Software Test Architect
Nearfield Instruments —Rotterdam
- Fulltime
- Master
- Python
Senior MES Consultant Siemens Opcenter
Capgemini —Utrecht
- € 3.450 - € 5.600 per maand
- Fulltime
- Hybride werken
- ERP systemen
- Communicatieve vaardigheden
- Flexibele werkuren
Senior Data Scientist
Nearfield Instruments —Rotterdam
- Engels
- Master
- C++
BMS Automation Engineer
Capgemini —Utrecht
- € 3.600 - € 5.300 per maand
- Parttime
- Hybride werken
- Analytisch vermogen
- Bachelor
- HVAC
- Flexibele werkuren
Global Customer Application Engineer
ABB S.p.A. —Rotterdam
- Online sollicitatie
- Doctor
- Engels
- Master
Snel solliciteren
12 dagen
DevOps Engineer IAM
Swisscom —Rotterdam
- € 60.000 - € 70.000 per jaar
- Fulltime
- Hybride werken
- Informatica
- DevOps
- Engels
- Reiskostenvergoeding
- Taaltraining aangeboden

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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

deep learning vacatures in stolwijk

Internship: Fast Physics

Consultant Industrial Automation

Finance Manager

AWS Pre-Sales Architect

Senior AI Engineer (Libra - Legal AI Assistant) (m/w/d)

Lead Software Engineer (Team Lead) - 2 squads

Online Marketer Germany

Railway Safety Engineer

Production Engineer

Group Controller

Culinary Intern (f/m/x)

Senior DevOps Engineer (Sailpoint IIQ)

Enterprise Customer Success Manager - Benelux

Customer Service Data Analyst

Software Test Architect

Senior MES Consultant Siemens Opcenter

Senior Data Scientist

BMS Automation Engineer

Global Customer Application Engineer

DevOps Engineer IAM

Ik wil de nieuwste vacature-alerts ontvangen voor de functie van deep learning in stolwijk

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