Improving energy estimation of Vanderlande systems

Assignment type
:
Graduation

Start date
:
February 2026

Assignment
duration
: 6 months

Location
:
Veghel

Education
level
:
Bachelor / Master

Desired
study
:
Electrical engineering, industrial engineering & management, applied physics, data science

Language
:
Dutch / English

At Vanderlande, we design and deliver complex automated handling systems for global airports and parcel logistics centers. These large-scale systems consist of dynamic, interconnected components operating simultaneously under varying speeds, power needs, and utilization patterns. Currently, accurately estimating total energy consumption is challenging due to these complex operational variables. Improving energy predictions is vital for optimizing system designs, helping customers make informed purchasing decisions, and reducing emissions from sold products.

In this high-impact graduation project, you will build a data-driven predictive model to estimate system energy performance based on operational conditions and system parameters. By gathering operational datasets, analyzing key energy drivers, and validating your model against real-world measured data, you will directly help Vanderlande design more energy-efficient logistics solutions.

You will join the global Sustainability team, working directly alongside the Energy Competence team within Technology.

Our sustainability efforts touch multiple business areas, giving you the opportunity to collaborate closely with experts across R&D, Engineering, Sales, Finance, and Data Analytics.

• Collect, clean, and structure datasets

• Analyze system parameters to identify primary drivers of energy consumption

• Develop a predictive energy estimation model using statistical or engineering methodologies

• Validate model outputs against real-world measured data from operational customer sites

• Deliver structured energy datasets, a validated predictive model, and strategic recommendations for implementation across business processes

• Strong analytical capabilities and interest in energy systems, statistics, and data analysis tools

• Affinity with sustainability and energy-efficient technology solutions

• Ability to translate complex data analytics into clear, actionable insights for engineering and commercial teams

• Proactive mindset with strong communication skills in English

• * Mandatory enrolment to a Dutch Education System & resident of The Netherlands

• A monthly internship allowance (based on a 40-hour work week):
  Bachelor: €500 per month
  Master: €550 per month

• Full commuting allowance, including public transport, depending on whether you have access to free public transport or not

• On-site health center with gym

• Active employee communities and initiatives

• Excellent company restaurant and barista coffee bar

Do you recognize yourself in this challenging profile? Are you looking for an internship in our organization? For more information, contact us by e‑mail: