At Toyota Material Handling Europe (TMHE), we create the technology that keeps the world moving. Diverse businesses across Europe depend on our logistics and material handling solutions. By pioneering technology such as automation, connectivity and productivity solutions, we create opportunities for our customers’ logistics operations to be as efficient as possible.

We firmly believe in setting ideas in motion. That is why we are investing more than ever in research and development. Our multidisciplinary teams work both conceptually and practically to develop the next generation of material handling products and solutions. By providing our Research and Development organisation with the creative freedom and resources needed to explore new technologies, we aim to stay at the forefront of innovation. At Toyota Material Handling Europe, we contribute to a smarter and more sustainable society, today and tomorrow.

Background and purpose
How can artificial intelligence (AI) help project managers make better use of information and focus on the decisions that matter?

Product development projects involve complex schedules, resources, technical dependencies and risks. Project managers rely on information from multiple sources to monitor progress, anticipate challenges and make informed decisions.

At TMHE, we want to investigate where AI could add value to our project management processes and which applications are worth pursuing.

The purpose of this thesis is to identify and evaluate relevant AI opportunities within our R&D Project Management Office (PMO), providing a research-based foundation for future development.

Thesis description
Working with our PMO and drawing on academic research, existing processes and stakeholder insights, you will:

• Analyse selected project management workflows and identify challenges where AI could provide support.
• Investigate relevant AI applications and assess their potential benefits, feasibility and limitations.
• Evaluate and prioritise potential use cases based on business value, data availability and implementation considerations.
• Develop recommendations and, if feasible, a concept or proof of concept for one selected use case.

Your findings will help us understand where AI could create value and how potential applications could be introduced responsibly into our project management practices.

Your profile
We are looking for one or two Master’s students studying:

• Industrial Engineering and Management
• Project Management or Innovation Management
• Computer Science or AI
• Product Development or a related field

You have an interest in the intersection of technology, business processes and project management.

You approach complex problems analytically, enjoy collaborating with different stakeholders and can translate research findings into clear recommendations. Good communication skills in English are essential.

Beneficial skills (not mandatory)

• Knowledge of project management methods or product development processes.
• Familiarity with AI applications, business process analysis or digital transformation.
• Experience with qualitative research, data analysis or prototyping.

Our offer
At Toyota Material Handling Europe, you will work on a real engineering challenge and explore how machine learning could support future product development decisions.

You will be based at our PMO at our Headquarters in Mjölby with possibility to work from our Innovation Centre in Vallastaden, Linköping, where you will receive guidance from experienced professionals and have opportunities to collaborate with engineers and other Master's students.

We believe in a flexible work environment that allows you to balance both your professional and personal life. At TMHE, you will have the opportunity to build valuable skills, contribute to impactful projects and be part of a collaborative, diverse and welcoming workplace. You will also receive competitive compensation in two instalments: one when you start your work and the other upon successful completion of your thesis.

Time for you to make a MOVE!

Your application
Please submit your application, including:

• A brief personal letter
• Your CV
• A recent transcript of records

For questions about the thesis, please contact one of your future mentors Gustav Hailee at Gustav.Hailee@toyota-industries.eu or Peter Lundberg at Peter.Lundberg@toyota-industries.eu

Applications are reviewed continuously and suitable candidates may be invited to interviews before the deadline.

Terms

• Application: As soon as possible, or at the latest by the 30th of October 2026.
• Start date: During January 2027.
• Scope: 30 hp.
• Number of students: Two.
• Location: TMHE Headquarters in Mjölby, with possibility to work from our Innovation Centre in Vallastaden, Linköping.

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