Volkswagen AG
PhD Student AI Methods Powertrain(m/w/x)
Full-timeOn-siteNot specified
Wolfsburg
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VOVolkswagen AG
PhD Student AI-based GraphRAG Parking Functions(m/w/x)
Wolfsburg
from 3,030 - 3,497 / month
Full-timeOn-site
AI/ML
Nejo AI Summary
Designing knowledge graphs for AI-based parking functions at automotive manufacturer. Formal methods and graph technologies knowledge required. 30 vacation days, 24.12. & 31.12. off.
Requirements
- University degree in cybernetics, computer science, mathematics, physics, or comparable field
- Programming experience (Python, Cypher, CI/CD) and willingness to work with graph technologies
- Knowledge or research interest in formal methods, AI, graph theory, ontologies, requirements engineering
- Ability to abstract and model complex system relationships
- English language level C1
- Analytical, structured, self-driven working style with intrinsic motivation for research
- Problem-solving skills and drive to understand and implement novel approaches
Tasks
- Design nearly deterministic knowledge graph for text-based requirements
- Define domain-specific semantic model and ontology
- Implement reasoning mechanisms for verifiable GraphRAG queries
- Develop end-to-end scalable minimum viable product (MVP)
- Use approved toolchains for MVP development
- Evaluate approaches with real-world parking function requirements (SAE Level 2)
- Validate approaches with real-world parking function requirements (SAE Level 2)
- Demonstrate correctness of generated results
- Ensure completeness of generated results
- Maintain traceability of generated results
- Ensure certifiability of generated results
- Collaborate closely with industrial and academic partners
Education
- Doctoral / PhD
Languages
- English – Business Fluent
Tools & Technologies
- Python
- Cypher
- CI/CD
- graph-based technologies
Benefits
More Vacation Days
- 30 vacation days
- 24.12. off
- 31.12. off
Company Vehicle
- Vehicle purchase and leasing conditions
Learning & Development
- Free seminars on scientific work
Other Benefits
- Interdisciplinary qualifications
- Scientific exchange within Volkswagen Group
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 AI-based GraphRAG Parking Functions(m/w/x)
Wolfsburg
from 3,030 - 3,497 / month
Full-timeOn-site
AI/ML
Nejo AI Summary
Designing knowledge graphs for AI-based parking functions at automotive manufacturer. Formal methods and graph technologies knowledge required. 30 vacation days, 24.12. & 31.12. off.
Requirements
- University degree in cybernetics, computer science, mathematics, physics, or comparable field
- Programming experience (Python, Cypher, CI/CD) and willingness to work with graph technologies
- Knowledge or research interest in formal methods, AI, graph theory, ontologies, requirements engineering
- Ability to abstract and model complex system relationships
- English language level C1
- Analytical, structured, self-driven working style with intrinsic motivation for research
- Problem-solving skills and drive to understand and implement novel approaches
Tasks
- Design nearly deterministic knowledge graph for text-based requirements
- Define domain-specific semantic model and ontology
- Implement reasoning mechanisms for verifiable GraphRAG queries
- Develop end-to-end scalable minimum viable product (MVP)
- Use approved toolchains for MVP development
- Evaluate approaches with real-world parking function requirements (SAE Level 2)
- Validate approaches with real-world parking function requirements (SAE Level 2)
- Demonstrate correctness of generated results
- Ensure completeness of generated results
- Maintain traceability of generated results
- Ensure certifiability of generated results
- Collaborate closely with industrial and academic partners
Education
- Doctoral / PhD
Languages
- English – Business Fluent
Tools & Technologies
- Python
- Cypher
- CI/CD
- graph-based technologies
Benefits
More Vacation Days
- 30 vacation days
- 24.12. off
- 31.12. off
Company Vehicle
- Vehicle purchase and leasing conditions
Learning & Development
- Free seminars on scientific work
Other Benefits
- Interdisciplinary qualifications
- Scientific exchange within Volkswagen Group
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.
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
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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