Job
- Level
- Junior
- Job Feld
- Data
- Anstellung
- Vollzeit
- Vertragsart
- Befristetes Dienstverhältnis
- Ort
- Wolfsburg
- Arbeitsmodell
- Hybrid, Onsite
Job Zusammenfassung
In dieser Position analysierst du große Fahrzeugdaten, entwickelst datengetriebene Methoden zur Identifikation sicherheitskritischer Fahrszenarien und unterstützt die Validierung automatisierter Fahrfunktionen mit einem interdisziplinären Team.
Deine Rolle im Team
- Our department "Automated Driving and Parking" is responsible for the series development of automated driving functions at SAE Level 2 hands-free and SAE Level 4 "Highway Pilot" for Volkswagen at the complete vehicle level.
- The comprehensive and systematic verification and validation of these systems are carried out through a combination of extensive real vehicle data, safety-critical evaluation methods, and direct integration with development and release processes.
- In this doctoral position, you will work at the interface of data science, automated driving, and system validation - with direct relevance to production vehicles and large-scale fleet data.
- This allows you to make a measurable contribution to the safety of automated driving functions using real vehicle data.
- From the very beginning, you will be involved in the validation and release of modern driver assistance and automated driving functions and will develop data-driven methods to systematically identify, assess, and translate real driving scenarios into robust safety cases.
- You will work in an interdisciplinary team of engineers and data science experts and engage in close technical exchange across team and disciplinary boundaries.
- Analyzing large-scale real-world driving datasets to identify safety-critical driving episodes.
- Detecting, segmenting, and structuring driving scenarios relevant to the operational domain of automated driving functions.
- Enriching identified scenarios with relevant environmental, infrastructure, and system attributes.
- Developing a machine-readable, data-driven scenario catalog.
- Deriving safety metrics and contributing to evidence-based validation and release decisions.
Unsere Erwartungen an dich
Ausbildung
- Good to very good university degree qualifying for doctoral studies in computer science, data science, systems engineering, robotics, or a comparable field of study.
Qualifikationen
- Basic understanding of complex technical systems, ideally in the context of automated or cyber-physical systems.
- English language level C1, German language level B1.
- Analytical and structured working style.
- High level of self-motivation for scientific research.
- Ability to work in an interdisciplinary environment.
Erfahrung
- Strong knowledge of data analysis and machine learning, ideally with experience in time series or sequential data.
- Experience with statistical analysis as well as clustering or classification methods.
Unser Angebot
- Attractive salary & 30 vacation days (+ 24.12. and 31.12. off).
- 35-hour week, flexible working hours, remote work.
- Special conditions for the purchase and leasing of vehicles.
- Free seminars on scientific work and interdisciplinary qualifications.
- Participation in the doctoral network for scientific exchange with science representatives and other doctoral candidates within the Volkswagen Group.
Benefits
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Gesundheit, Fitness & Fun
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Job Standorte
Das ist dein Arbeitgeber
Volkswagen AG
Die Volkswagen AG, mit Hauptsitz in Wolfsburg, Deutschland, ist einer der weltweit führenden Hersteller von Fahrzeugen und Nutzfahrzeugen.
Description
- Unternehmensgröße
- 250+ Employees
- Unternehmenstyp
- Etablierte Firma
- Arbeitsmodell
- Hybrid, Onsite
- Branche
- Industrie, Produktion
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Workingconditions
4.0Engineering
2.8Career Growth
3.1Culture
3.6
PhD Student Data Analytics Automated Driving
- Ort
- Wolfsburg
- Arbeitsmodell
- Hybrid, Onsite
- Diversität
- Für alle Personen geeignet (m/w/d)
