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.Master Thesis - AI‑Based Technology Scouting & Benchmarking(m/w/x)
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
- English – Business 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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- ams OSRAM GmbHPart-timeOn-siteExperiencedPremstätten
- MAGNA STEYR Fahrzeugtechnik GmbH & Co KG
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.Master Thesis - AI‑Based Technology Scouting & Benchmarking(m/w/x)
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
- English – Business 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
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
ams OSRAM GmbH
Industry
Manufacturing
Description
The company is a global leader in innovative light and sensor solutions, focusing on digitalization, smart living, energy efficiency, and sustainability.
Not a perfect match?
- ams OSRAM GmbH
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Master thesis-Automated Device Handling for Post Silicon Verification of Integrated Circuits(m/w/x)
Part-timeInternshipOn-sitePremstätten - Easelink
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