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Thesis Quantum Computing and Generative Models (f/m/x)

Tesis / Doctorado de 25 a 36 meses

Munich (Germany)

Publicado el 1 de junio de 2026

  • Contrato

    Tesis / Doctorado de 25 a 36 meses

  • Localización

    Munich (Germany)

  • Fecha de inicio

    Lo antes posible

  • Salario

    Información no proporcionada

  • Teletrabajo

    Parcial

BMW Group illustration
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.
  • Good English skills.

Would you like to support our team in advancing quantum computing and generative models? Then apply now!

What do we offer?
  • Comprehensive mentoring & onboarding.
  • Personal & professional development.
  • Flexible working hours.
  • Mobile work.
  • Attractive & fair compensation.
  • Apartments for students (subject to availability & only at the Munich location).
  • And much more, see bmw.jobs/whatweoffer

Start date: 02/01/2026

Duration: 6 months

Working hours: Full-time

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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