Master Thesis Internship – Intelligent Thread across Semiconductor Product Lifecycle
Core
Master thesis research to design and evaluate solutions for an 'Intelligent Thread'—an active engineering knowledge and learning system connecting data across the semiconductor product lifecycle.
Role type
Master Thesis Intern (Research & Prototyping)
Builds
Prototypes or evaluated solutions for engineering knowledge representation, traceability, and decision support within the Product Lifecycle.
Domain
Semiconductor industry / Product Lifecycle Management / Engineering Knowledge Systems
Deliverable
research | prototype
Required skills
analytical and problem-solving skills, knowledge of Python, ability to work with knowledge graphs or agentic AI concepts
Preferred skills
SPARQL, Industrial Engineering, AI/ML, Data Science
Responsibilities
Conduct stakeholder interviews and process analysis to map engineering knowledge flows; identify knowledge gaps and challenges in cross-domain collaboration; design, prototype, or evaluate a concrete solution to strengthen the Intelligent Thread; explore AI technologies like knowledge graphs for knowledge discovery and reuse.
Seniority
Intern (Master Thesis Student)
