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Graduation: Integrating Component Simulations in Digital Twins with Machine Learning Veghel Vanderlande

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Gevraagd

  • 37 - 40 uur

Aanbod

  • Stage
 

Vacature in het kort

Veghel
Je gaat machine learning technieken gebruiken om een eenvoudig componentmodel te trainen voor systeem simulaties. Dit model helpt bij het optimaliseren van systemen zonder hoge rekenkosten. Werk samen met het Digital Twin Suite-team dat software ontwikkelt voor simulaties. Je onderzoekt, traint en analyseert modellen en hun prestaties. Een mooie kans om je programmeerkennis in Java en MATLAB te gebruiken! Enthousiast om verder te verkennen? Ontdek alle details hieronder!
 

Over het bedrijf

Vanderlande
Directe werkgever
Bedrijfsprofiel
 

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Assignment type: Graduation

Start date: September 2025

Assignment Duration: 6 9 months

Location: Veghel

Educational Level: Master
Desired Study: Computer Science, Mathematics or any technical study with programming affinity

Language: Dutch / English

Assignment

Vanderlande uses different simulation models for different use cases. Component simulation models are highly detailed and accurate, however this level of detail makes it infeasible to integrate into large scale systems simulation, as this would become too computationally expensive and slow to be useful. Developing simpler component models requires significant effort as well as expert knowledge of component behaviour, and typically results in a model with lower accuracy. Additionally, it poses the challenge of keeping the detailed and simple models aligned over the life cycle of a product. Because of these downsides we want to investigate a different option. In this graduation assignment we want to use machine learning techniques to train a simple component model for use in system simulations, using training data from the detailed component model.
 

Department
The Digital Twin Suite develops the software platform used to configure system-level Digital Twins for simulation and emulation purposes. The Simulation team uses this simulation platform to configure project-specific simulation models, which they use to analyse and optimize system performance.
 

Tasks/responsibilities

  • Decide on case on which to apply the assignment
  • Investigate suitable machine learning techniques and model setups.
  • Train a simplified component model that is suitable for integration in large system models
  • Analyse model accuracy, reliability, computational cost and other relevant performance metrics

Skills / Your profile

  • Affinity with machine learning and programming.
  • Systems simulation models are done in Java
  • Component simulation are typically done in MATLAB
  • *Mandatory enrolment in a Dutch Education System and resident of The Netherlands

Contact

Do you recognize yourself in this challenging profile? Are you looking for an internship in our organization? Please fill out the application form and upload your resume and cover letter. For more information, contact us by e-mail: via de button "Solliciteer nu" op deze pagina.

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