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PhD Student Context Ontology - Agentic AI(m/w/x)
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.
Anforderungen
- 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
Aufgaben
- 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
Berufserfahrung
- ca. 1 - 4 Jahre
Ausbildung
- Doktor / Ph.D.
Sprachen
- Deutsch – Grundkenntnisse
- Englisch – verhandlungssicher
Benefits
Flexibles Arbeiten
- Flexible working hours
- Remote work
Mehr Urlaubstage
- 30 vacation days plus Dec 24 and 31 off
Firmenwagen
- Special vehicle conditions
Weiterbildungsangebote
- Free scientific seminars
Karriere- und Weiterentwicklung
- Doctoral network participation
Noch nicht perfekt?
- Volkswagen AGVollzeitnur vor OrtBerufserfahrenWolfsburg
- Volkswagen AG
Doktorandin / Doktorand Long-term Personalization - Agentic AI(m/w/x)
VollzeitBefristeter Vertragnur vor OrtKeine AngabeWolfsburg - Volkswagen AG
PhD Student Inline Surface Inspection(m/w/x)
Vollzeitnur vor OrtKeine AngabeWolfsburg - Volkswagen AG
Head of AI - Driving Innovation Across Product & Enterprise(m/w/x)
Vollzeitnur vor OrtSeniorWolfsburg - CARIAD SE
lnternship - User Experience / User Interaction - Pre-Development AI-enabled Experiences(m/w/x)
VollzeitPraktikumnur vor OrtIngolstadt, München, Wolfsburg
PhD Student Context Ontology - Agentic AI(m/w/x)
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.
Anforderungen
- 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
Aufgaben
- 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
Berufserfahrung
- ca. 1 - 4 Jahre
Ausbildung
- Doktor / Ph.D.
Sprachen
- Deutsch – Grundkenntnisse
- Englisch – verhandlungssicher
Benefits
Flexibles Arbeiten
- Flexible working hours
- Remote work
Mehr Urlaubstage
- 30 vacation days plus Dec 24 and 31 off
Firmenwagen
- Special vehicle conditions
Weiterbildungsangebote
- Free scientific seminars
Karriere- und Weiterentwicklung
- Doctoral network participation
Noch nicht perfekt?
- Volkswagen AG
PhD Student Long-term Personalization - Agentic AI(m/w/x)
Vollzeitnur vor OrtBerufserfahrenWolfsburg - Volkswagen AG
Doktorandin / Doktorand Long-term Personalization - Agentic AI(m/w/x)
VollzeitBefristeter Vertragnur vor OrtKeine AngabeWolfsburg - Volkswagen AG
PhD Student Inline Surface Inspection(m/w/x)
Vollzeitnur vor OrtKeine AngabeWolfsburg - Volkswagen AG
Head of AI - Driving Innovation Across Product & Enterprise(m/w/x)
Vollzeitnur vor OrtSeniorWolfsburg - CARIAD SE
lnternship - User Experience / User Interaction - Pre-Development AI-enabled Experiences(m/w/x)
VollzeitPraktikumnur vor OrtIngolstadt, München, Wolfsburg