Master Thesis GPT and Quantum Machine Learning (f/m/x)

Bayerische Motoren Werke Aktiengesellschaft; München; Hybrid; EUR 60.000 - 80.000; Vollzeit

Zusammenfassung

A leading automotive company in Munich is seeking a student to support their research in quantum machine learning. You will design frameworks connecting LLM outputs to quantum circuits and collaborate with industry experts. Applicants should have strong programming skills in Python and a background in computer science or a related field. This position offers mobile work options and student accommodations subject to availability.

Leistungen

Mobile work

Apartments for students (availability dependent)

Qualifikationen

• Strong programming skills in Python.
• Experience with deep learning frameworks such as PyTorch or JAX and quantum libraries like PennyLane or Qiskit.
• Background or strong interest in quantum machine learning or hybrid AI–quantum methods.

Aufgaben

• Support designing and implementing a framework for quantum circuit generation.
• Develop, test, and benchmark prototype workflows for quantum machine learning applications.
• Evaluate performance and scalability across quantum backends.

Kenntnisse

Python programming

Deep learning frameworks (PyTorch, JAX)

Quantum libraries (PennyLane, Qiskit)

Analytical mindset

Excellent command of English

Ausbildung

Studies in computer science, physics, mathematics, engineering or a related field

Jobbeschreibung

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 digital innovation across all technology domains, from cloud and AI to quantum computing. As part of the Innovation, Emerging Technologies department, you will support our collaboration with leading industrial and academic partners to advance next-generation computing paradigms. This thesis is conducted within the QUTAC consortium, working closely with industry experts and BMW research teams.

What awaits you?

• You will support designing and implementing a framework that connects LLM outputs to quantum circuit generation.
• Furthermore, you help to develop, test, and benchmark prototype workflows for quantum machine learning applications.
• In addition, you contribute to evaluating performance and scalability across quantum backends and simulation environments.
• Moreover, you will assist in close collaboration with QUTAC industry experts and BMW research teams.
• You will help to document results and derive academic insights suitable for publication.

Please note that your thesis must be supervised by a university on your part.

What should you bring along?

• Studies in computer science, physics, mathematics, engineering or a related field.
• Strong programming skills in Python.
• Experience with deep learning frameworks such as PyTorch or JAX and quantum libraries like PennyLane or Qiskit.
• Background or strong interest in quantum machine learning or hybrid AI–quantum methods.
• Analytical mindset, curiosity for emerging technologies, and ability to support research activities.
• Excellent command of English (spoken and written).

Would you like to support our research on the interface of AI and quantum computing? 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 .