Master's Thesis - Leveraging LLMs for Efficient Process Development | Master's Thesis - Leveraging LLMs for Efficient Process Deve
Infineon Technologies AG
Job Summary
This Master's Thesis position offers a unique opportunity to research and implement the use of Large Language Models (LLMs) to enhance the efficiency of product lifecycle processes within a major international semiconductor company. The successful candidate will be integrated into a global team of over 58,000 employees, focusing on practical applications of cutting-edge AI technology to drive efficiency, safety, and sustainability. This role is ideal for a highly motivated student seeking to apply advanced computational linguistics and process optimization skills in a real-world, high-impact industrial setting, contributing directly to making products' lifecycles faster and smarter. The work is project-based, full-time, and offers a defined contract duration.
Required Skills
Education
Enrollment in a relevant Master's program (e.g., Computer Science, Engineering, Data Science)
Experience
- Academic experience in research and thesis development
- Experience applying LLMs to practical business or engineering processes
Languages
Additional
- Temporary contract duration
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