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Project Description:
Assembling a vehicle in production is a complex optimization problem. Finding an efficient assembly sequence at an early stage in the process is of high interest since late changes leads to high costs. This thesis project aims to explore and implement such sequence optimization methods for vehicle assembly using artificial intelligence.
The project will involve the use of state-of-the-art path planning simulation software to evaluate proposed sequences.
Key focus areas: AI, software development, sequence optimization, vehicle assembly processes
Your skills and background

• Currently pursuing a Master’s degree in Machine Learning, Computer Science, Data Science, Engineering Physics, Mathematics, or a related field.
• Proficient in Python, with hands-on experience in machine learning libraries such as Py Torch, Transformers, or scikit-learn.
• Solid understanding of core machine learning principles and optimization algorithms. Prior experience with sequence optimization is an advantage.
• Strong organizational skills with the ability to structure and manage work efficiently, as well as a willingness to share knowledge with colleagues.
• Eager to learn new concepts and comfortable working with complex datasets and systems integration.

Why you should join Zeekr Tech Eu
We are engineers, developers, and innovators from around the world. Joined together by entrepreneurship, our unique blend of global culture, and a belief in a smarter more sustainable future. At Zeekr Tech Eu we fast-track innovation and transform ideas into pioneering technology solutions, doing your master thesis here is no different. We are convinced that a thesis project is a major contribution to our innovation capabilities and long-term development. You'll have a great opportunity to use your skills and creativity to push the boundaries of what´s possible.
What happens when you apply
If this sounds interesting and you match the requirements, please don't hesitate to submit your application with a CV and cover letter. Shortlisted candidates will be contacted for an interview to further discuss the project's details and expectations.

This thesis project is intended for 1-2 students
Supervisor: Mingji Fang, mingji.fang@zeekrtech.eu, please contact for more information about the project

Starting date: January 2024
Last application date: 2024-11-10

Apply today. We will perform ongoing selection during the application period. We look forward to hearing from you!
Please note that due to GDPR regulations, we can only accept applications sent through the recruitment system, not via email or other channels.