Your personal AI career agent
PhD Student Data Analytics Automated Driving(m/w/x)
Analyzing large-scale driving datasets to identify safety-critical episodes and segment scenarios for automated driving. Strong data analysis and machine learning knowledge required. 30 vacation days, Christmas and New Year's Eve off.
Requirements
- University degree qualifying for doctoral studies in computer science, data science, systems engineering, robotics, or comparable field
- Strong data analysis and machine learning knowledge, ideally with time series or sequential data experience
- Experience with statistical analysis, clustering, or classification methods
- Basic understanding of complex technical systems, ideally automated or cyber-physical systems
- Analytical and structured working style
- High self-motivation for scientific research
- Ability to work in interdisciplinary environment
Tasks
- Analyze large-scale real-world driving datasets
- Identify safety-critical driving episodes
- Detect and segment driving scenarios
- Structure scenarios relevant to automated driving
- Enrich scenarios with environmental attributes
- Enrich scenarios with infrastructure attributes
- Enrich scenarios with system attributes
- Develop a machine-readable scenario catalog
- Derive safety metrics
- Contribute to evidence-based validation
- Contribute to release decisions
- Work in an interdisciplinary team
- Engage in technical exchange
- Define doctoral topic with professor
- Obtain supervision confirmation
- Confirm topic delimitation
Education
- Doctoral / PhD
Languages
- English – Business Fluent
- German – Advanced
Benefits
More Vacation Days
- 30 vacation days
- Christmas Eve off
- New Year's Eve off
Company Vehicle
- Vehicle purchase and leasing conditions
Learning & Development
- Free seminars on scientific work
- Interdisciplinary qualification seminars
- Scientific exchange opportunities
Career Advancement
- Doctoral network participation
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
Not a perfect match?
- Volkswagen AGFull-timeTemporary contractOn-siteNot specifiedWolfsburg
- Volkswagen AG
PhD Student Industrial Cybersecurity(m/w/x)
Full-timeOn-siteExperiencedWolfsburg - Volkswagen AG
PhD Student Manufacturing Variations Control - Best‑Fit Assembly(m/w/x)
Full-timeOn-siteJuniorWolfsburg - Volkswagen AG
PhD Student AI Methods Powertrain(m/w/x)
Full-timeOn-siteNot specifiedWolfsburg - Volkswagen AG
PhD Student AI Application Energy Management(m/w/x)
Full-timeOn-siteNot specifiedWolfsburg
PhD Student Data Analytics Automated Driving(m/w/x)
Analyzing large-scale driving datasets to identify safety-critical episodes and segment scenarios for automated driving. Strong data analysis and machine learning knowledge required. 30 vacation days, Christmas and New Year's Eve off.
Requirements
- University degree qualifying for doctoral studies in computer science, data science, systems engineering, robotics, or comparable field
- Strong data analysis and machine learning knowledge, ideally with time series or sequential data experience
- Experience with statistical analysis, clustering, or classification methods
- Basic understanding of complex technical systems, ideally automated or cyber-physical systems
- Analytical and structured working style
- High self-motivation for scientific research
- Ability to work in interdisciplinary environment
Tasks
- Analyze large-scale real-world driving datasets
- Identify safety-critical driving episodes
- Detect and segment driving scenarios
- Structure scenarios relevant to automated driving
- Enrich scenarios with environmental attributes
- Enrich scenarios with infrastructure attributes
- Enrich scenarios with system attributes
- Develop a machine-readable scenario catalog
- Derive safety metrics
- Contribute to evidence-based validation
- Contribute to release decisions
- Work in an interdisciplinary team
- Engage in technical exchange
- Define doctoral topic with professor
- Obtain supervision confirmation
- Confirm topic delimitation
Education
- Doctoral / PhD
Languages
- English – Business Fluent
- German – Advanced
Benefits
More Vacation Days
- 30 vacation days
- Christmas Eve off
- New Year's Eve off
Company Vehicle
- Vehicle purchase and leasing conditions
Learning & Development
- Free seminars on scientific work
- Interdisciplinary qualification seminars
- Scientific exchange opportunities
Career Advancement
- Doctoral network participation
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.
Not a perfect match?
- Volkswagen AG
Doktorandin:Doktorand Datenanalyse Automatisiertes Fahren(m/w/x)
Full-timeTemporary contractOn-siteNot specifiedWolfsburg - Volkswagen AG
PhD Student Industrial Cybersecurity(m/w/x)
Full-timeOn-siteExperiencedWolfsburg - Volkswagen AG
PhD Student Manufacturing Variations Control - Best‑Fit Assembly(m/w/x)
Full-timeOn-siteJuniorWolfsburg - Volkswagen AG
PhD Student AI Methods Powertrain(m/w/x)
Full-timeOn-siteNot specifiedWolfsburg - Volkswagen AG
PhD Student AI Application Energy Management(m/w/x)
Full-timeOn-siteNot specifiedWolfsburg