Bachelor and Master Theses

The thesis work is a part of a collaboration project Trust_Gen_Z:Trustworthy Generative AI for Advanced Industrial DigitaliZation between Volvo CE and Mälardalen University.

Description of Thesis Work

Be a part of shaping the future through Analytics and AI explorations, both working on a specific use case and investigating the latest trends in approaches and Ways of Working.

The thesis will build on an existing Machine learning and computer vision-based model, identifying the as-is wear of undercarriage parts for the excavator machine. You will be evaluating and choosing method(s) which provide acceptable accuracy and explainability.

The tasks of the thesis include:

1.         Implement advanced machine learning model to classify wear for undercarriage parts

2.         Automate the measurements of undercarriage parts

3.         Provide an explanation of the classification

This can be suitable for the student with studies within for example Computer Science/ AI Engineering or equivalent. Computer vision, AI and Machine learning are valuable skill sets. Some programming skills in Python are essential. 

If you think this sounds interesting and that it can meet your thesis goals, we would be grateful to have you as an applicant. For further information, please get in contact with us.

Language: English

Thesis Level: Bachelor / Master 

Location: Eskilstuna / Hybrid work setting

Computer vision, AI and Machine learning are valuable skill sets. Some programming skills in Python are essential. 

Master / Bachelor Thesis

Volvo Construction Equipment (VCE), a division of Volvo Group, is one of the world's largest manufacturers of construction equipment such as wheel loaders, haulers, excavators and compact machines.

At VCE, we are at the forefront of innovation in the construction equipment industry. We focus on data-driven decision-making across the entire business spectrum. With numerous ongoing exploratory projects, we provide a fertile ground for curious minds to delve into diverse domains and leave a lasting impact.

We seek individuals with innovative mindsets who can provide unexpected solutions and think outside the box. By joining us, you will contribute to research and findings that will help shape the direction of our business. Together, we will explore untapped potential, paving the way for a more efficient, intelligent, and sustainable future.