Every day, millions rely on the seamless flow of goods - from the food on their table to the medicines in hospitals.
Behind that flow, there's 13,500 colleagues, in Europe alone, working across 30+ countries to create smarter, safer and more sustainable logistics solutions.
But we can’t shape the future alone. That’s why we invite you, students, to challenge us, question us and create with us.
Doing your thesis with us means more than writing a report. It’s your chance to tackle real challenges and make an impact in R&D, Research & Innovation, Design, Digitalisation, Legal, Finance and IT.
Building the logistics of tomorrow isn’t only about technology. It’s about having the right capabilities in every part of the organisation. It’s about thinking differently and daring to explore bold ideas that can transform how we work, how we collaborate and how we deliver value to society.
At our Innovation Centre in Vallastaden, Linköping, you will find a vibrant environment designed for students, a space to spark ideas, exchange knowledge and learn from our engineers and specialists. As part of the project, you will step into our Mjölby premises, experiencing the pulse of our factory floors, our labs and our people. That’s where theory meets practice. That’s where innovation becomes real.
Turn historical product data into a machine learning proof of concept that could help engineers estimate component costs faster and more accurately.
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Extract more insight from less data by exploring how statistics and machine learning can estimate forklift travel from sparse vehicle signals.
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Explore how AI could help project managers anticipate risks and make better decisions, turning real product development challenges into practical recommendations.
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Explore how AI can identify the root causes of failed software tests and provide developers with faster, clearer guidance for resolving the issues.
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Put autonomous forklift software to the test by exploring how reinforcement learning can generate challenging scenarios and uncover failures that conventional testing may miss.
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Combine deep learning with camera and 3D sensor data to help autonomous forklifts recognise and locate pallets more accurately in real warehouse conditions.
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Combine camera images and 3D data to filter out the correct measurement points and help forklifts estimate the distance to pallets more accurately.
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Write and test embedded software that uses camera-based position data to help a real Toyota forklift guide its forks under an EU pallet.
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Challenge the role of hydraulics by exploring electric lifting solutions that can make autonomous low-lift trucks more energy-efficient and less complex.
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Explore how autonomous forklifts can detect and compensate for mast deflection in real time for more precise load handling at high heights.
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Help engineers spot design challenges earlier by exploring how digital mock-ups can improve collaboration and decisions before physical prototypes are built.
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Connect engineering information across systems and teams by developing a digital thread concept that makes product data easier to access, trace and reuse.
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Combine engineering and economics by testing cost-reduction methods on an actual product and identifying smarter design solutions that enhance its competitiveness.
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Build and validate simulation models of critical hydraulic safety components to improve valve design and reduce the need for repeated physical testing.
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Develop the next generation of protective canopies for forklifts by combining concept development, CAD, and simulation to achieve better performance at a lower cost.
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Develop and validate virtual stability tests that help engineers optimize forklift lifting capacity earlier in the development process and reduce the need for physical testing.
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Investigate whether vehicle signals can reveal available tyre grip and provide insights for future braking and personnel protection concepts in autonomous forklifts.
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Investigate how vibrations affect forklift operators and identify improvements that can make the workday more comfortable and ergonomic.
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Explore how AI and camera technology can detect distractions and provide forklift operators with support that improves safety, ergonomics, and workflow.
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Combine user research and learning design to create and test a clearer, more intuitive introduction to our digital fleet management tools.
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Explore adaptive antenna technology to help autonomous forklifts stay connected as warehouse conditions change around them.
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Turn climate ambition into practical action by tackling a focused challenge in net-zero strategy, energy-related emissions or carbon data across the value chain.
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An internship with Toyota Material Handling Europe means stepping into responsibility.
Whether you join our
teams, you’ll contribute to projects that impact our daily operations and our long-term strategy.
It’s not about observing. It’s all about doing.
It’s about being part of an international team, learning from experts and making your mark in a company that believes in the power of fresh perspectives.
Primarily based at our Innovation Centre in Linköping, with cross-collaboration and project work in Mjölby, when needed.
“Doing my thesis at Toyota Material Handling gave me access to real engineers and real problems. My work didn’t just sit on a shelf, it became part of a real project.”
Anna, Masters student Linköping University
Typically 20 weeks, aligned with your thesis programme.
Internship duration depends on the project.
Simple and straightforward: send us your CV & motivation letter. Tell us why you’ve chosen this topic and how you’d like to approach it.
According to our student policy
“The internship helped me develop skills in AI while contributing to real business needs. I felt like part of the team from day one.”
Markus, IS/IT Intern
You’ll be guided by experts who care about your growth.
At Toyota Material Handling Europe, your project is not a side exercise. It’s part of our journey.
Have questions about our thesis topics, internships or the application process? Our Talent Acquisition team is here to guide you.
Reach out today and take the first step toward shaping the logistics of tomorrow.
Toyota Material Handling Europe