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Thesis Student(m/w/x)
Evaluating AI-based prototypes for SAP customers, deriving design principles for EU Taxonomy eligibility screening using NLP/LLMs. Design-Science-Research knowledge mandatory, with German and English language skills required. Personal mentor support.
Requirements
- Preferred fields of study: Computer Science, IT, AI Engineering, or related field
- Knowledgeable in methodical work
- Design-Science-Research Knowledge is mandatory
- Computer skills: Natural Language Processing (NLP), Chat-Bot, Large Language Models, IT Design and IT Architecture
- Language skills: German and English
- Practical experience with corporate customers or basic knowledge regarding EU Taxonomy
Tasks
- Prepare and conduct expert interviews with selected SAP customers
- Derive design principles for an AI-based prototype from customer requirements
- Evaluate an existing AI-supported prototype for eligibility screening under the EU Taxonomy
- Analyze customer processes and data sources using standardized interviews
- Conduct scenario-based prototype walkthroughs
- Perform expert interviews with domain specialists
- Capture regulatory interpretation nuances and industry-specific constraints
- Triangulate insights from customer and expert interviews
- Refine design principles based on empirical evidence
- Iteratively enhance the prototype mock-up to meet customer needs
- Utilize qualitative analysis tools like MaxQDA for data analysis
- Translate empirical insights into technically grounded design principles
Education
- High school diploma
Languages
- German – Native
- English – Business Fluent
Tools & Technologies
- Natural Language Processing (NLP)
- Chat-Bot
- Large Language Models
- IT Design
- IT Architecture
Benefits
Learning & Development
- Constant learning
- Skill growth
Mentorship & Coaching
- Personal mentor support
Healthcare & Fitness
- Focus on health and well-being
Flexible Working
- Flexible working models
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Thesis Student(m/w/x)
Evaluating AI-based prototypes for SAP customers, deriving design principles for EU Taxonomy eligibility screening using NLP/LLMs. Design-Science-Research knowledge mandatory, with German and English language skills required. Personal mentor support.
Requirements
- Preferred fields of study: Computer Science, IT, AI Engineering, or related field
- Knowledgeable in methodical work
- Design-Science-Research Knowledge is mandatory
- Computer skills: Natural Language Processing (NLP), Chat-Bot, Large Language Models, IT Design and IT Architecture
- Language skills: German and English
- Practical experience with corporate customers or basic knowledge regarding EU Taxonomy
Tasks
- Prepare and conduct expert interviews with selected SAP customers
- Derive design principles for an AI-based prototype from customer requirements
- Evaluate an existing AI-supported prototype for eligibility screening under the EU Taxonomy
- Analyze customer processes and data sources using standardized interviews
- Conduct scenario-based prototype walkthroughs
- Perform expert interviews with domain specialists
- Capture regulatory interpretation nuances and industry-specific constraints
- Triangulate insights from customer and expert interviews
- Refine design principles based on empirical evidence
- Iteratively enhance the prototype mock-up to meet customer needs
- Utilize qualitative analysis tools like MaxQDA for data analysis
- Translate empirical insights into technically grounded design principles
Education
- High school diploma
Languages
- German – Native
- English – Business Fluent
Tools & Technologies
- Natural Language Processing (NLP)
- Chat-Bot
- Large Language Models
- IT Design
- IT Architecture
Benefits
Learning & Development
- Constant learning
- Skill growth
Mentorship & Coaching
- Personal mentor support
Healthcare & Fitness
- Focus on health and well-being
Flexible Working
- Flexible working models
About the Company
SAP
Industry
IT
Description
SAP innovations help over four hundred thousand customers worldwide work together more efficiently and use business insight more effectively.
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