Job
In this role, you will develop novel tensor network algorithms for machine learning, conduct experiments, and analyze their performance to address innovative research questions.
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Job technologies
Your role in the team
- 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.
Our expectations of you
Qualifications
- You are an enrolled student in Computer Science, Artificial Intelligence, Data Science, Mathematics, Physics, or a related field.
- You have a solid understanding of linear algebra and feel comfortable applying its concepts to solve practical problems.
- You have a basic understanding of machine learning concepts and can explain and work with fundamental methods such as linear regression.
- You have good English skills, German is an advantage but not required.
- You are highly motivated to learn, enjoy diving deep into technical topics, and have a genuine curiosity for understanding how things work.
Experience
- You are comfortable programming in Python and have hands-on experience with PyTorch, including implementing and adapting neural network models.
What we offer
- You can expect challenging and varied tasks in an innovative research environment.
- We also offer you insights into application-oriented research and current, innovative topics.
- A pleasant working atmosphere in a motivated team.
- Chancengleichheit, Barrierefreiheit und Vielfalt.
- Verantwortungsvolle Aufgaben, die Ihnen helfen, Ihre Fähigkeiten weiterzuentwickeln.
- 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.
- The monthly working time is 40 hours.
- The position is initially limited to one year.
- Longer-term employment is desirable.
- Remuneration according to the general collective agreement for employing assistant staff.
Benefits
Health, fitness & fun
Work-Life-Integration
Topics you will work on
Job locations
About your employer
The Fraunhofer Society is the largest organization for applied research in Europe. We align our research fields with people's needs: health, safety, communication, mobility, energy and the environment. We are creative and design technology. We design products, improve processes and open up new avenues.
- 250+ Employees
- Established Company
- Onsite, Hybrid, Full Remote
- Science, Research
Employer reviews
- Engineering
- 2.9
- Career growth
- 3.8
- Team culture
- 3.5
- Working conditions
- 4.2
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