Thesis Quantum Computing and Generative Models
Verfasst am 2025-12-14
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IT/Informationstechnik
Datenwissenschaftler, Computer Science, Künstliche Intelligenz Ingenieur, AI Künstliche Intelligenz
Thesis Quantum Computing and Generative Models (f/m/x)
SOME IT WORKS. SOME CHANGES WHAT'S POSSIBLE.
SHARE YOUR PASSION.
More than 90% of automotive innovations are based on electronics and software. That's why creative freedom and lateral thinking are so important in the pursuit of truly novel solutions. That’s why our experts will treat you as part of the team from day one, encourage you to bring your own ideas to the table – and give you the opportunity to really show what you can do.
Our team at the BMW Group explores innovative solutions in quantum computing and generative models to advance research in quantum chemistry. We offer you the opportunity to support pioneering projects in a collaborative environment.
What awaits you?
- You will support the team in applying generative models to quantum chemistry challenges.
- Furthermore, you help to develop and implement quantum algorithms for research purposes.
- In addition, you participate in research and development activities to explore new applications of quantum computing.
Please note that your thesis must be supervised by a university on your part.
What should you bring along?
- Studies in computer science, engineering, physics or a related field.
- Strong programming skills, preferably in Python.
- Experience or coursework in machine learning.
- Interest in quantum computing and quantum chemistry.
- Ability to collaborate in a dynamic team environment.
Would you like to support our team in advancing quantum computing and generative models? Then apply now!
What do we offer?
- Mobile work.
- Apartments for students (subject to availability & only at the Munich location).
Do you have questions? Then submit your inquiry easily via our Contact form . Your inquiry will be answered by phone or email afterwards.
We at the BMW Group place great importance on equal treatment and equal opportunities. Our recruiting decisions are based on the personality, experiences, and skills of the applicants. More about this here .
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