Master Thesis - Artificial Intelligence (m/w/d) - Document Search Engine using a customized LLM

Do you want to put all your theoretical knowledge into practice, gain operational experience and broaden your skills? We offer a option for you to work with our employees, experts and specialists in a fascinating high-tech environment. We are offering a unique opportunity to prove and recommend yourself for a possible future employment.

 

The AI/ML Team in TGRE is a highly focused and one of the few teams in the world, which focus entirely on the application of AI and ML in the race environment. Our tools are state-of-art and we have close cooperation’s with the leading institutes in data science. We are passionate and diverse ML engineers who drive to contribute to Toyota victories on the race track.  

 

 

Your thesis:

 

During races, it is important to make rapid decision within the technical regulations and past steward decisions. Being able to access, this information can be a competitive advantage. All regulations and decisions of the FIA/ACO are public and can be used as training data. The goals of this thesis are (1) to develop a search engine based on a Large Language Model (LLM) using the public documents and (2) benchmark the approach of a LLM against traditional search approaches.  

 

 

The successful candidate will have:

 

  • Bachelor’s degree in informatics, engineering, physics, or related field
  • Courses and student projects with ML in Python, with a particular focus on LLMs
  • Ability to communicate with engineering and technicians from various disciplines
  • Well-structured and systematic research approach
  • Very good command of the English language (in speech as well as in writing)
  • Passion for motorsport