Master's thesis focusing on identity management for AI agents in data spaces at Fraunhofer ISST. Engage in cutting-edge research with industry partners at the forefront of digitalization in Germany and Europe.
Responsibilities
You will investigate how AI agents are currently deployed in industrial environments.
You will develop a concept to make the use of AI agents in data spaces trustworthy through the use of decentralized identity technologies.
You will evaluate your concept against key criteria such as scalability, interoperability, and resilience.
You will implement your solution as an initial demonstrator prototype to demonstrate the practical feasibility of your ideas.
Requirements
Enrollment in a Master's program in Computer Science, Applied Computer Science, Business Informatics, Data Science, Software Engineering, or a comparable field
Strong programming skills in at least one common programming language (e.g., Python, Java, Rust, Go)
Interest in innovative technologies, data-driven solutions, and applied research in trustworthy AI, AI agents, and identity management (SSI)
A team-oriented, careful, and self-directed working style and the ability to conduct independent, scientific work
Good German and English skills, both written and spoken
Benefits
Supervision and support: You will be closely supervised by our experienced experts, gain valuable insights, and be able to further develop your thesis with our assistance.
Flexibility: Work where you are most productive — entirely remote or on-site at our institute in Dortmund. You will only need to visit the institute in Dortmund once to collect the hardware and once to return it (including the smart card).
An open and creative work environment: You will join a committed team and have plenty of freedom for your own creative ideas or topic proposals. Flat hierarchies and an open atmosphere will help you settle in quickly.
Job title
Master's Thesis – Identity Management for AI Agents, Security & Transparency in Data Spaces
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