Student Assistant for applied Machine Learning in the »Quantum Computing« Team (all genders)

Aufgaben

• 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

Profil

• 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 are comfortable programming in Python and have hands-on experience with PyTorch, including implementing and adapting neural network models
• 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

Wir bieten

• You can expect challenging and varied tasks in an innovative research environment.
• Insights into application-oriented research and current, innovative topics
• A pleasant working atmosphere in a motivated team
• Equal opportunities, accessibility, and diversity
• Responsible tasks that will help you 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

Rahmenbedingungen

• The monthly working time are 40 hours.
• The position is initially limited to one year. Longer-term employment is desirable.
• Remuneration according to the general works agreement for employing assistant staff.

Über Fraunhofer

With its focus on developing key technologies that are vital for the future and enabling the commercial utilization of this work by business and industry, Fraunhofer plays a central role in the innovation process. As a pioneer and catalyst for groundbreaking developments and scientific excellence, Fraunhofer helps shape society now and in the future.

Bewerbung

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.

We value and promote the diversity of our employees' skills and therefore welcome all applications – regardless of age, gender, nationality, ethnic and social origin, religion, ideology, disability, sexual orientation and identity. Severely disabled persons are given preference in the event of equal suitability. Our tasks are diverse and adaptable – for applicants with disabilities, we work together to find solutions that best promote their abilities.