Volkswagen AG
PhD Student Long-term Personalization - Agentic AI(m/w/x)
Full-timeOn-siteExperienced
Wolfsburg
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AGAgentic AI
PhD Student Context Ontology - Agentic AI(m/w/x)
Wolfsburg
Full-timeOn-siteExperienced
Nejo AI Summary
Building context ontology for agentic AI systems, analyzing perception, cognition, and action. Applied AI research experience with generative models and agent architectures required. 35-hour week, 30 vacation days plus Dec 24/31 off, special vehicle conditions.
Requirements
- Good to very good university degree for doctoral studies in computer science, data science, electrical engineering, or related field
- Advanced coding proficiency, data processing, optimization, software engineering best practices
- Deep understanding of AI/ML concepts, generative models, agentic architectures, multi-modal systems
- Applied AI research experience (model training, fine-tuning, benchmarking, experimental prototypes)
- Strong analytical and problem-solving abilities (ideally thesis, publications, research projects)
- German A2 and English C1 language skills
- Good to very good university degree for doctoral studies in computer science, data science, electrical engineering, or related field
- Advanced coding proficiency, data processing, optimization, software engineering best practices
- Deep understanding of AI/ML concepts, generative models, agentic architectures, multi-modal systems
- Applied AI research experience (model training, fine-tuning, benchmarking, experimental prototypes)
- Strong analytical and problem-solving abilities (ideally thesis, publications, research projects)
- German A2 and English C1 language skills
Tasks
- Develop context-driven AI components
- Analyze context-driven AI components
- Evaluate context-driven AI components
- Develop hybrid agentic systems for perception, cognition, and action
- Analyze hybrid agentic systems for perception, cognition, and action
- Evaluate hybrid agentic systems for perception, cognition, and action
- Investigate methods for context acquisition
- Investigate methods for context fusion
- Investigate methods for context orchestration
- Work with interior/exterior camera data
- Work with sensor streams
- Work with navigation data
- Work with vehicle settings
- Work with internet-based information
- Research architectural concepts for context-oriented AI systems
- Design architectural concepts for context-oriented AI systems
- Work on vehicle SoCs and cloud integration
- Perform requirements engineering
- Conduct model fine-tuning
- Perform hardware-aware optimization
- Analyze quantitative approaches for system evaluation
- Analyze qualitative approaches for system evaluation
- Evaluate system performance under real-world conditions
- Work with AI-agent frameworks for training
- Work with AI-agent frameworks for designing
- Work with AI-agent frameworks for optimizing
- Optimize context-aware intelligent workflows
Work Experience
- approx. 1 - 4 years
Education
- Doctoral / PhD
Languages
- German – Basic
- English – Business Fluent
Benefits
Flexible Working
- Flexible working hours
- Remote work
More Vacation Days
- 30 vacation days plus Dec 24 and 31 off
Company Vehicle
- Special vehicle conditions
Learning & Development
- Free scientific 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 Agentic AI 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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AGAgentic AI
PhD Student Context Ontology - Agentic AI(m/w/x)
Wolfsburg
Full-timeOn-siteExperienced
Nejo AI Summary
Building context ontology for agentic AI systems, analyzing perception, cognition, and action. Applied AI research experience with generative models and agent architectures required. 35-hour week, 30 vacation days plus Dec 24/31 off, special vehicle conditions.
Requirements
- Good to very good university degree for doctoral studies in computer science, data science, electrical engineering, or related field
- Advanced coding proficiency, data processing, optimization, software engineering best practices
- Deep understanding of AI/ML concepts, generative models, agentic architectures, multi-modal systems
- Applied AI research experience (model training, fine-tuning, benchmarking, experimental prototypes)
- Strong analytical and problem-solving abilities (ideally thesis, publications, research projects)
- German A2 and English C1 language skills
- Good to very good university degree for doctoral studies in computer science, data science, electrical engineering, or related field
- Advanced coding proficiency, data processing, optimization, software engineering best practices
- Deep understanding of AI/ML concepts, generative models, agentic architectures, multi-modal systems
- Applied AI research experience (model training, fine-tuning, benchmarking, experimental prototypes)
- Strong analytical and problem-solving abilities (ideally thesis, publications, research projects)
- German A2 and English C1 language skills
Tasks
- Develop context-driven AI components
- Analyze context-driven AI components
- Evaluate context-driven AI components
- Develop hybrid agentic systems for perception, cognition, and action
- Analyze hybrid agentic systems for perception, cognition, and action
- Evaluate hybrid agentic systems for perception, cognition, and action
- Investigate methods for context acquisition
- Investigate methods for context fusion
- Investigate methods for context orchestration
- Work with interior/exterior camera data
- Work with sensor streams
- Work with navigation data
- Work with vehicle settings
- Work with internet-based information
- Research architectural concepts for context-oriented AI systems
- Design architectural concepts for context-oriented AI systems
- Work on vehicle SoCs and cloud integration
- Perform requirements engineering
- Conduct model fine-tuning
- Perform hardware-aware optimization
- Analyze quantitative approaches for system evaluation
- Analyze qualitative approaches for system evaluation
- Evaluate system performance under real-world conditions
- Work with AI-agent frameworks for training
- Work with AI-agent frameworks for designing
- Work with AI-agent frameworks for optimizing
- Optimize context-aware intelligent workflows
Work Experience
- approx. 1 - 4 years
Education
- Doctoral / PhD
Languages
- German – Basic
- English – Business Fluent
Benefits
Flexible Working
- Flexible working hours
- Remote work
More Vacation Days
- 30 vacation days plus Dec 24 and 31 off
Company Vehicle
- Special vehicle conditions
Learning & Development
- Free scientific 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 Agentic AI 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.
Not a perfect match?
- Volkswagen AG
PhD Student Long-term Personalization - Agentic AI(m/w/x)
Full-timeOn-siteExperiencedWolfsburg - Volkswagen AG
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PhD Student Inline Surface Inspection(m/w/x)
Full-timeOn-siteNot specifiedWolfsburg - Volkswagen AG
Head of AI - Driving Innovation Across Product & Enterprise(m/w/x)
Full-timeOn-siteSeniorWolfsburg - CARIAD SE
lnternship - User Experience / User Interaction - Pre-Development AI-enabled Experiences(m/w/x)
Full-timeInternshipOn-siteIngolstadt, München, Wolfsburg