Fraunhofer-Gesellschaft
Masterarbeit(m/w/x)
Full-timeInternshipOn-site
Freiburg im Breisgau
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FRFraunhofer-Gesellschaft
Master's thesis "Representation Learning for Solar Cell Production Analytics"(m/w/x)
Freiburg im Breisgau
Full-timeInternshipOn-site
Green Job
AI/ML
Data Science
Nejo AI Summary
Developing AI models for complex data representations in solar cell production analytics at application-oriented research organization with 76 institutes. Experience in computer vision, representation learning, and statistical data analysis required. Exclusive research insights, experimental and theoretical work, scientific supervision.
Requirements
- Studies in natural or engineering sciences, computer science, microelectronics, physics, or comparable field
- Experience in computer vision, representation learning, and statistical data analysis
- Knowledge in solar cell research (advantageous)
- Commitment to teamwork and interdisciplinary collaboration
- Independent and high-quality task completion
- Persistence and result-orientation when facing challenges
- Ability to build trusting relationships and clear communication
- Resilience in overcoming obstacles and setbacks
- Proficiency with PyTorch and training AI models
- Experience developing own models and statistical data analysis (ideal)
- Very good spoken and written English skills
Tasks
- Develop AI models for complex data representations
- Identify connections between production and measurement data
- Evaluate various statistical analysis methods
- Process real-world data including outliers and pitfalls
- Interact regularly with the research team
- Present research results to colleagues
- Analyze solar cell manufacturing using representation learning
- Apply classical statistical techniques to fault analysis
Education
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- PyTorch
- AI models
Benefits
Other Benefits
- Exclusive research insights
- Teamwork experience
Diverse Work
- Experimental and theoretical work
Mentorship & Coaching
- Scientific supervision and feedback
Flexible Working
- Flexible working hours
Informal Culture
- Equal opportunity environment
Team Events
- After-work events
- Annual staff parties
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Fraunhofer-Gesellschaft and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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FRFraunhofer-Gesellschaft
Master's thesis "Representation Learning for Solar Cell Production Analytics"(m/w/x)
Freiburg im Breisgau
Full-timeInternshipOn-site
Green Job
AI/ML
Data Science
Nejo AI Summary
Developing AI models for complex data representations in solar cell production analytics at application-oriented research organization with 76 institutes. Experience in computer vision, representation learning, and statistical data analysis required. Exclusive research insights, experimental and theoretical work, scientific supervision.
Requirements
- Studies in natural or engineering sciences, computer science, microelectronics, physics, or comparable field
- Experience in computer vision, representation learning, and statistical data analysis
- Knowledge in solar cell research (advantageous)
- Commitment to teamwork and interdisciplinary collaboration
- Independent and high-quality task completion
- Persistence and result-orientation when facing challenges
- Ability to build trusting relationships and clear communication
- Resilience in overcoming obstacles and setbacks
- Proficiency with PyTorch and training AI models
- Experience developing own models and statistical data analysis (ideal)
- Very good spoken and written English skills
Tasks
- Develop AI models for complex data representations
- Identify connections between production and measurement data
- Evaluate various statistical analysis methods
- Process real-world data including outliers and pitfalls
- Interact regularly with the research team
- Present research results to colleagues
- Analyze solar cell manufacturing using representation learning
- Apply classical statistical techniques to fault analysis
Education
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- PyTorch
- AI models
Benefits
Other Benefits
- Exclusive research insights
- Teamwork experience
Diverse Work
- Experimental and theoretical work
Mentorship & Coaching
- Scientific supervision and feedback
Flexible Working
- Flexible working hours
Informal Culture
- Equal opportunity environment
Team Events
- After-work events
- Annual staff parties
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Fraunhofer-Gesellschaft and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
About the Company
Fraunhofer-Gesellschaft
Industry
Research
Description
Das Unternehmen ist eine der führenden Organisationen für anwendungsorientierte Forschung mit 76 Instituten in Deutschland.
Not a perfect match?
- Fraunhofer-Gesellschaft
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Full-timeOn-siteNot specifiedFreiburg im Breisgau - Fraunhofer-Gesellschaft
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Full-timeWorking StudentOn-siteFreiburg im Breisgau - Stryker Leibinger GmbH & Co. KG
Master Thesis Research & Development (R&D) Sports Medicine(m/w/x)
Full-timeInternshipOn-siteFreiburg im Breisgau