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AMams OSRAM GmbH

.Master Thesis - AI‑Based Technology Scouting & Benchmarking(m/w/x)

Premstätten
Part-timeOn-site
AI/ML

Developing AI workflows for automated scanning of large information spaces for light and sensor solutions. Solid understanding of AI/ML methods required. Performance-based benefits, additional benefits based on experience.

Requirements

  • Enrolled Master’s student in Data Science, AI, Computer Science, Chemistry, Engineering, Physics, or related field
  • Solid understanding of AI/ML methods
  • Experience with Python and common ML/AI libraries
  • Familiarity with technology scouting, literature analysis, patents, and benchmarking
  • Ability to structure complex information and communicate results clearly
  • Self-driven, analytical, and comfortable with incomplete or heterogeneous data
  • Very good English skills (written and spoken)

Tasks

  • Identify and structure relevant technologies, products, and research trends
  • Develop AI workflows for automated scanning of large information spaces
  • Structure and compare technologies and solutions from various sources
  • Synthesize insights into a shared state-of-the-art view
  • Shorten scouting and benchmarking cycles using AI
  • Reduce duplication of studies across teams
  • Propose a structured approach for capturing lessons learned
  • Explore potential for reusing lessons as machine-readable knowledge
  • Build a long-term AI-assisted knowledge base

Education

  • Currently in higher education

Languages

  • EnglishBusiness Fluent

Tools & Technologies

  • Python
  • ML/AI libraries

Benefits

Bonuses & Incentives

  • Additional benefits based on performance

Additional Allowances

  • Additional benefits based on experience
  • Additional benefits based on qualifications
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