Assignment type: Graduation
Start date: September 2024
Assignment Duration: 9 months
Location: Veghel
Educational Level: WO (MSc)
Desired Study: Computer Science, Mathematics, 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 behavior, 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 analyze and optimize system performance.
Tasks/responsibilities
Skills / Your profile
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: internship@vanderlande.com or contact Klejdi Filaj (Campus Recruiter) by phone: +31 4 134 946 51.