Master Graduation: Auto Digital Twin for Baggage Systems

Vanderlande

Veghel

On-site

EUR 6,100 - 7,300

Full time

14 days+

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Benefits offered by this job

Monthly internship allowance
Commuting allowance
Health center on-site
Employee communities
Restaurant & coffee bar

Job summary

Vanderlande in Veghel seeks a Master student to develop an automated, continuously updating Digital Twin for baggage systems. You will conduct literature research, analyze site and simulation data, and build a proof-of-concept for synchronized digital shadows throughout the asset lifetime.

Join a multi-disciplinary team (Java simulations, cloud architectures with Azure, Databricks data processing) and deliver a practical thesis with real-world validation.

Qualifications

  • Master enrolment and Dutch residency required for the Netherlands.
  • Experience with Java simulation frameworks is a plus.
  • Strong analytical and research capabilities in simulation and data-driven systems.

Responsibilities

  • Conduct literature research on continuous model validation, automated model synchronization, and digital twin lifecycle management.
  • Perform data analysis combining real-time operational site data with simulation logs.
  • Design and build a working proof-of-concept for automated monitoring, updating, and validating of operational Digital Twins.
  • Validate your prototype against real-world Baggage Handling System datasets and scenarios.
  • Write a high-quality Master graduation thesis and present findings to the engineering organization.

Skills

Java simulation frameworks
Azure
Databricks
Data analysis

Education

Master degree

Tools

Java

Job description

Vanderlande in Veghel seeks a Master student to develop an automated, continuously updating Digital Twin for baggage systems. You will conduct literature research, analyze site and simulation data, and build a proof-of-concept for synchronized digital shadows throughout the asset lifetime.

Join a multi-disciplinary team (Java simulations, cloud architectures with Azure, Databricks data processing) and deliver a practical thesis with real-world validation.

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