PhD Quantum Computing for Numerical Simulations (f/m/x)

Bayerische Motoren Werke Aktiengesellschaft; München; Vor Ort; EUR 80.000 - 100.000; Vollzeit

Zusammenfassung

A leading automotive group in Munich is seeking PhD candidates in Quantum Computing for numerical simulations. Successful applicants will work on cutting-edge algorithms related to computational fluid dynamics. A Master's degree in physics or related fields, along with a solid understanding of quantum physics and strong Python skills, is essential. This role offers an innovative environment for those passionate about new technologies, with opportunities for collaboration and professional growth.

Leistungen

Digital offers & mobile working

Apartment offers for students (subject to availability)

Qualifikationen

• A master's degree in physics, computer science, mathematics, or a related field is required.
• Solid understanding of quantum physics and experience with quantum computing are necessary.
• Proficiency in Python and experience with GitHub is expected.

Aufgaben

• Investigate and develop state-of-the-art algorithms for quantum computing.
• Evaluate these algorithms on computational fluid dynamics use cases.
• Collaborate with internal and external partners on relevant projects.

Kenntnisse

Quantum physics understanding

Python proficiency

Strong communication skills in English

Ausbildung

Master's degree in physics, computer science, or mathematics

Tools

GitHub

Jobbeschreibung

PhD Quantum Computing for Numerical Simulations (f/m/x)

THE FUTURE IS WHAT WE CREATE WHEN WE TAKE OUR VISIONS TO THE LIMITS.

PHD AT THE BMW GROUP.

Bridging the gap between your doctoral studies and the kind of career challenge you’re looking for isn’t always easy. That’s why our ProMotion PhD programme gives you the opportunity to apply your passion and scientific expertise to very real challenges that could shape the future of mobility. If selected, you’ll have the chance to really develop your own future career path with us through your practice‑related thesis, promote your chosen specialty from within – and position yourself to secure the career you’ve always wanted.

We are a forward‑thinking team within the BMW Group, dedicated to pioneering advanced technologies that shape the future of premium automotive innovation. Our focus lies on exploring groundbreaking computational methods, including quantum computing, to revolutionize large‑scale numerical simulations and drive greater efficiency.

What awaits you?

• Investigate and develop state‑of‑the‑art algorithms for solving partial differential equations using quantum computers.
• Evaluate and benchmark such algorithms on computational fluid dynamics (CFD) use cases.
• Help bridge the gap between quantum research and applications.
• Present your findings through internal reports and contribute to potential scientific publications.
• Collaborate with internal and external partners.

What should you bring along?

• A master’s degree in physics, computer science, mathematics, or a related field.
• Solid understanding of quantum physics and experience with quantum computing.
• Proficiency in Python; experience with collaborative tools such as GitHub.
• Background in fluid dynamics and CFD is a plus.
• Strong communication skills in English; German is a plus.

Do you have a passion for new technologies and an innovative work environment? Apply now! Note: Please apply exclusively online through our career portal. Applications submitted via other channels (including email) cannot be considered. Citizens of countries outside the European Union must have a valid residence or work permit for the duration of the program.

What we offer?

• Digital offers & mobile working.
• Apartment offers for students (subject to availability & only Munich).

Do you have any questions? Then simply send your enquiry using our contact form. Your enquiry will then be answered by telephone or e‑mail.

At the BMW Group, we place great importance on equal treatment and equal opportunities. Our recruiting decisions are based on the personality, experience, and skills of the applicants.