Agentic AI
PhD Student Context Ontology - Agentic AI(m/w/x)
Full-timeOn-siteExperienced
Wolfsburg
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VOVolkswagen AG
PhD Student Long-term Personalization - Agentic AI(m/w/x)
Wolfsburg
Full-timeOn-siteExperienced
AI/ML
Data Science
Nejo AI Summary
Developing long-term personalization mechanisms for vehicle context and customer behavior using agentic AI at automotive innovation hub. Doctoral studies degree in STEM and deep understanding of agentic AI/ML concepts required. 35-hour work week, 30 vacation days.
Requirements
- Good to very good university degree for doctoral studies in mathematics, physics, computer science, data science, electrical engineering, or related field
- Advanced coding proficiency, including data processing, optimization techniques, and software engineering best practices
- Deep understanding of AI/ML concepts (generative models, agentic architectures, multi-modal systems)
- Experience with applied AI research (model training/fine-tuning, benchmarking, experimental prototypes)
- Strong analytical and problem-solving abilities, ideally demonstrated through thesis work, publications, or research projects
- German language proficiency A2
- English language proficiency C1
Tasks
- Develop, analyze, and evaluate long-term personalization mechanisms adapting to customer behavior, vehicle context, and environmental factors
- Investigate methods for integrating diverse inputs into adaptive personalization strategies
- Design user-transparent, user-controllable interfaces for customer data management
- Research long-term stability and consistency of personalization
- Develop validation methodologies for personalization
- Create mechanisms to maintain reliable personalization over extended vehicle usage
- Identify and evaluate responsible-AI guardrails for handling long-term personalized data
Work Experience
- approx. 1 - 4 years
Education
- Doctoral / PhD
Languages
- German – Basic
- English – Business Fluent
Benefits
Flexible Working
- Flexible working hours
- Remote work
Competitive Pay
- Attractive salary
More Vacation Days
- 30 vacation days
- Paid days off (Dec 24, Dec 31)
Company Vehicle
- Vehicle purchase and leasing conditions
Learning & Development
- Free seminars
Career Advancement
- Doctoral network participation
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Volkswagen AG 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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VOVolkswagen AG
PhD Student Long-term Personalization - Agentic AI(m/w/x)
Wolfsburg
Full-timeOn-siteExperienced
AI/ML
Data Science
Nejo AI Summary
Developing long-term personalization mechanisms for vehicle context and customer behavior using agentic AI at automotive innovation hub. Doctoral studies degree in STEM and deep understanding of agentic AI/ML concepts required. 35-hour work week, 30 vacation days.
Requirements
- Good to very good university degree for doctoral studies in mathematics, physics, computer science, data science, electrical engineering, or related field
- Advanced coding proficiency, including data processing, optimization techniques, and software engineering best practices
- Deep understanding of AI/ML concepts (generative models, agentic architectures, multi-modal systems)
- Experience with applied AI research (model training/fine-tuning, benchmarking, experimental prototypes)
- Strong analytical and problem-solving abilities, ideally demonstrated through thesis work, publications, or research projects
- German language proficiency A2
- English language proficiency C1
Tasks
- Develop, analyze, and evaluate long-term personalization mechanisms adapting to customer behavior, vehicle context, and environmental factors
- Investigate methods for integrating diverse inputs into adaptive personalization strategies
- Design user-transparent, user-controllable interfaces for customer data management
- Research long-term stability and consistency of personalization
- Develop validation methodologies for personalization
- Create mechanisms to maintain reliable personalization over extended vehicle usage
- Identify and evaluate responsible-AI guardrails for handling long-term personalized data
Work Experience
- approx. 1 - 4 years
Education
- Doctoral / PhD
Languages
- German – Basic
- English – Business Fluent
Benefits
Flexible Working
- Flexible working hours
- Remote work
Competitive Pay
- Attractive salary
More Vacation Days
- 30 vacation days
- Paid days off (Dec 24, Dec 31)
Company Vehicle
- Vehicle purchase and leasing conditions
Learning & Development
- Free seminars
Career Advancement
- Doctoral network participation
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Volkswagen AG 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
Volkswagen AG
Industry
Automotive
Description
CARIAD ist das Automotive-Software-Unternehmen der Volkswagen Group, das Softwareplattformen und digitale Kundenfunktionen entwickelt.
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