Thesis in the Field of Generative AI & Natural Language Processing starting January 2025

Mercedes-Benz AG • Other • Sindelfingen • 2h ago

Life is always about becoming… Becoming means going on a journey to be the best version of our future selves. While we discover new things, we will face challenges, master them and grow beyond our individual limits.

Apply for a job at Mercedes-Benz and find your individual role and workspace to unleash your talents to the fullest. Empowered by visionary colleagues who share the same pioneering spirit. Joining us means becoming part of a global team that aims to build the most desirable cars in the world. Together for excellence.

Job-ID: MER0003FJM

In Corporate Research & Mercedes-Benz Cars Development (RD), we shape the automotive generations of the future. This means innovative products of the highest quality and efficient development processes. We are already working on vehicles that will secure Mercedes-Benz‘ technological leadership in the future. In the MB.OS Architecture department, we design future vehicle generations of Mercedes-Benz Cars in terms of component networking and energy supply, cross-functionally and across vehicle series.

Thesis Topic:

Dive into the fascinating world of Artificial Intelligence and contribute to revolutionizing the way we interact with development data
Your task will be to research and develop both proprietary and open-source Generative AI models capable of formulating precise (database) queries from natural language
Imagine being able to create complex database queries simply through spoken or written words – that is the goal of your thesis, and you will help push the boundaries of GenAI application and contemporary research

The final thesis selection is made in close consultation with you, the university and us.

Tasks:

Analysis and Selection of Suitable Models: You will investigate a variety of Generative AI models, both proprietary and open-source, to identify the best candidates for our requirements
Development of Innovative Methods: Your creativity and technical expertise are needed to develop methods that can translate natural language into precise database queries (mainly SQL and/or OQL)
Implementation and Testing: You will put your developed methods into practice and test their accuracy and efficiency in real-world application scenarios
Evaluation and Optimization: Through systematic evaluations, you will identify potential improvements and continuously optimize your methods
Documentation and Presentation: You will comprehensively document your results and present your findings in a compelling thesis

Studies in Computer Science, Data Science, Artificial Intelligence, or a comparable field
Knowledge in Natural Language Processing (NLP) and Generative AI
Experience with databases (ideally SQL/OQL)
Programming skills in Python or a comparable language
Ideally, first experiences with Machine Learning frameworks (e.g., TensorFlow, PyTorch)
High motivation and initiative
Teamwork and communication skills
Analytical thinking and structured working methods

We offer you the opportunity to work on pioneering technologies in a highly innovative environment and gain valuable practical experience. Become part of our team and help shape the future of mobility with us!

We look forward to your application and to shaping the future of mobility and vehicle development together!

Additional information:

It doesn't work completely without formalities. When sending your online application, please attach your CV, certificate of enrollment, current performance record, relevant certificates (max. 5 MB) and mark your application documents as "relevant for this application" in the online form.

Please find the criteria of employment "here".

Citizens of countries outside the European Trade Union please send, if applicable, your residence / work permit.

We particularly welcome online applications from candidates with disabilities or similar impairments in direct response to this job advertisement. If you have any questions, you can contact the local disability officer once you have submitted your application form, who will gladly assist you in the onward application process: sbv-sindelfingen@mercedes-benz.com

Please understand that we no longer accept paper applications and that there is no right to get your documents returned.

If you have any questions regarding the application process, please contact HR Services by e-mail at myhrservice@mercedes-benz.com or by phone: 0711/17-99000 (Monday to Friday between 10 a.m. to 12 a.m. and 1 p.m. to 3 p.m.).