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Master Thesis GPT and Quantum Machine Learning(m/w/x)
Description
In this role, you will engage in cutting-edge research by designing frameworks for quantum circuit generation and developing workflows for quantum machine learning. Collaboration with industry experts and research teams will be key to advancing innovative computing paradigms.
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Requirements
- •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)
Education
Tasks
- •Support the design and implementation of a framework connecting LLM outputs to quantum circuit generation
- •Develop, test, and benchmark prototype workflows for quantum machine learning applications
- •Evaluate performance and scalability across quantum backends and simulation environments
- •Collaborate closely with QUTAC industry experts and BMW research teams
- •Document results and derive academic insights for publication
Tools & Technologies
Languages
English – Business Fluent
Benefits
Flexible Working
- •Flexible working hours
- •Mobile work
Competitive Pay
- •Attractive and fair compensation
Mentorship & Coaching
- •Comprehensive mentoring and onboarding
- •Personal and professional development
Other Benefits
- •Apartments for students
- BMW GroupFull-timeInternshipOn-siteMünchen
- Fraunhofer-Gesellschaft
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Master Thesis GPT and Quantum Machine Learning(m/w/x)
The AI Job Search Engine
Description
In this role, you will engage in cutting-edge research by designing frameworks for quantum circuit generation and developing workflows for quantum machine learning. Collaboration with industry experts and research teams will be key to advancing innovative computing paradigms.
Let AI find the perfect jobs for you!
Upload your CV and Nejo AI will find matching job offers for you.
Requirements
- •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)
Education
Tasks
- •Support the design and implementation of a framework connecting LLM outputs to quantum circuit generation
- •Develop, test, and benchmark prototype workflows for quantum machine learning applications
- •Evaluate performance and scalability across quantum backends and simulation environments
- •Collaborate closely with QUTAC industry experts and BMW research teams
- •Document results and derive academic insights for publication
Tools & Technologies
Languages
English – Business Fluent
Benefits
Flexible Working
- •Flexible working hours
- •Mobile work
Competitive Pay
- •Attractive and fair compensation
Mentorship & Coaching
- •Comprehensive mentoring and onboarding
- •Personal and professional development
Other Benefits
- •Apartments for students
About the Company
BMW Group
Industry
Automotive
Description
Das Unternehmen bietet spannende Praktika im Bereich Markenerlebnis und Eventmanagement und legt großen Wert auf Gleichbehandlung und Chancengleichheit.
- BMW Group
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Internship in Quantum-Inspired Methods for AI Model Optimization(m/w/x)
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