Master's thesis "Representation Learning for Solar Cell Production Analytics"

Join the Fraunhofer Institute for Solar Energy Systems ISE as a student assistant to develop AI models for solar cell production analytics. Analyze relationships in solar cell manufacturing using state-of-the-art representation learning methods and classical statistical analysis techniques. Contribute to the group "Computer Vision and Machine Learning" and gain exclusive insight into research and development at a research institute.

Requirements

• Study natural or engineering sciences
• Experience in computer vision, representation learning, and statistical data analysis
• Proficiency with PyTorch
• Strong English skills
• Ability to work independently and in a team

Benefits

• Exclusive insight into research and development
• Opportunity to connect experimental work with theory
• Guidance by scientists and feedback on progress
• Teamwork and collaboration with scientific and student staff
• Flexible working hours
• Equal opportunities and diversity
• After-work events and staff parties