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AGAgentic AI

PhD Student Context Ontology - Agentic AI(m/w/x)

Wolfsburg
VollzeitVor OrtBerufserfahren

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

  • DeutschGrundkenntnisse
  • Englischverhandlungssicher

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
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens Agentic AI erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.

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