Student Assistant for applied Machine Learning in the »Quantum Computing« Team (all genders)
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Job description
About the Position
The Fraunhofer-Gesellschaft is one of the world's leading organizations for application-oriented research. The »Quantum Computing« team in the Digital Business research area at Fraunhofer Institute for Industrial Engineering IAO works on national and international research and consulting projects aimed at harnessing the potential of quantum computing for industry and society.
We are looking for a motivated Student Assistant who would like to contribute to cutting-edge work at the intersection of quantum computing, machine learning, and artificial intelligence. As part of an interdisciplinary team, you will support the development and evaluation of innovative algorithms and have the opportunity to contribute to scientific publications and research outcomes.
Be part of change
- You develop and evaluate novel tensor network algorithms for machine learning and data analysis applications
- You investigate and implement advanced approaches such as tensor density estimation and tensor-based learning methods
- You analyze research questions, design experiments, and assess the performance of newly developed methods
- You work closely with our researchers to advance the state of the art in tensor network and quantum-inspired machine learning
- You contribute to scientific publications and present research results to the international research community
Responsibilities
- Develop and evaluate novel tensor network algorithms
- Investigate and implement advanced machine learning approaches
- Analyze research questions and assess method performance
- Collaborate with researchers to advance state-of-the-art techniques
- Contribute to scientific publications and presentations
Requirements
- Enrolled student in Computer Science, Artificial Intelligence, Data Science, Mathematics, Physics, or a related field
- Solid understanding of linear algebra
- Basic understanding of machine learning concepts
- Comfortable programming in Python and experience with PyTorch
- Good English skills, German is a plus
- Highly motivated to learn and curious about technical topics
We Offer
- Challenging and varied tasks in an innovative research environment
- Insights into application-oriented research and current topics
- A pleasant working atmosphere in a motivated team
- Equal opportunities, accessibility, and diversity
- Responsible tasks to develop your skills
- State-of-the-art technology and working environment
- Flexible working time models
- Transparent and fair remuneration
- Connection to our student network
- Sports facilities at the University of Stuttgart
About the Company
Fraunhofer plays a central role in the innovation process, focusing on developing key technologies vital for the future and enabling their commercial utilization by business and industry. As a pioneer and catalyst for groundbreaking developments and scientific excellence, Fraunhofer helps shape society now and in the future.
Application
Ready for a change? Then apply now and make a difference! Once we have received your online application, you will receive an automatic confirmation of receipt. We will then get back to you as soon as possible and let you know what happens next.
If you have any questions about this position, please contact:
Mr. Zeki Zeybek
Phone +49 151 16327887
Fraunhofer Institute for Industrial Engineering IAO
www.iao.fraunhofer.de
Requisition Number: 86005
Application Deadline: 11/30/2026
Job Segment:
Industrial Engineer, Manufacturing Engineer, Computer Science, Data Analyst, Research, Engineering, Data, Technology
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