Master Thesis - LLM assisted trend scout

Company Description

At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people’s lives. Our promise to our associates is rock-solid: we grow together, we enjoy our work, and we inspire each other. Join in and feel the difference.

Bosch R&D Center Lund stands for modern development in cutting edge technology in the areas of connectivity, security, mobility solutions and AI. We are growing rapidly and looking for people to join us on our mission to become the Bosch Group’s 1st address for secure connected mobility solutions. We are working on a range of interesting projects, with a particular focus on software development for the automotive industry, electrical bicycles and Internet of Things.

Job Description

Innovation and new technologies are key for Bosch. Scouting for new technologies, upcoming companies and new collaborations are important to be able to position ourselves strategically in the market and live up to our motto “Invented for Life”. To keep up with current trends and find interesting new companies, we need to constantly scout the world around us. There are a lot of news sites and interesting innovation ecosystems providing a rich source of information. There are, however, a wide range of topics and regions making it challenging to sift through the large amount of information to find the relevant topics. Tools and services are available, but they tend to be expensive and unable to cover regional markets and trends rigorously.
Proposed solution
We want to evaluate how the use of pre-trained models (LLM), such as Open AI, ChatGPT, or Google Gemini, could improve our efficiency in scouting for new trends and upcoming companies. Scouting entails several challenges where we think pre-trained models can be of use.

* Finding new sources previously not known.

* Evaluating news items and companies whether they are relevant for a specific search scope.

* Summarizing news and trends

We believe there is a need to represent the knowledge from experienced employees, perhaps in a knowledge graph or similar concepts. We foresee an implementation in some kind of web service with an easy to use interface.

You will have the opportunity to shape the thesis based on your knowledge, skills and discoveries during the project.

Qualifications

Scope of thesis project

Two students either on bachelor or master level working onsite at the Lund office (primarily).
Please note: Only applications from students at a Swedish University are accepted.
Your profile

In order to be successful in the project with think you are:

* A student in Information Technology, Computer Science, Industrial Management and Engineering, or similar

* Experience with AI a general and specifically using pre-trained models and related technique (e.g. RAG, multi-agents, etc.)

* Experience and interest in technology management is recommended.

* An interest in user experience and UI design for web services.

* Driven, ability to challenge yourself, and gain the experience needed to move the project forward.

Supervisors:

* Thomas Olsson, [email protected]

Additional Information

Why choose Bosch:
In 2022, for the third year in a row, Bosch have received the "World's Best Employer" award from Forbes/Statista, ranking us among the top 3% of the world's most attractive employers.
Diversity is our strength! At Bosch we look at diversity in gender, generation, nationalities and culture as our advantage. We believe mixed teams to be more successful because they utilize the potential offered by different perspectives and solution strategies. We therefore promote mixed teams at all levels and draw on the entire talent pool.