Job
- Level
- Junior
- Job Field
- Data
- Employment Type
- Full Time
- Contract Type
- Temporary employment
- Location
- Wolfsburg
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you analyze large-scale vehicle data, develop data-driven methods to identify safety-critical driving scenarios, and support the validation of automated driving functions within an interdisciplinary team.
Your role in the 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.
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Our expectations of you
Education
- Good to very good university degree qualifying for doctoral studies in computer science, data science, systems engineering, robotics, or a comparable field of study.
Qualifications
- 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.
Experience
- 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.
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What we offer
- Attractive salary & 30 vacation days (+ December 24th and 31st 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.
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Benefits
More net
- 🏝️Summer and Christmas Bonus
- 💻Company Notebook for Private Use
- 🛍Employee Discount
- 👴🏻Company Retirement Provision
Work-Life-Integration
- 🚌Excellent Traffic Connections
- 🏠Home Office
- 🍼Day Care for Kids
- 🏝Extra Holidays
- ⏰Flexible Working Hours
- 🕺No Dresscode
Health, Fitness & Fun
Food & Drink
Topics that you deal with on the job
Job Locations
This is your employer
Volkswagen AG
The Volkswagen Group, which has its headquarters in Wolfsburg, Germany, is one of the world's leading manufacturers of automobiles and commercial vehicles.
Description
- Company Size
- 250+ Employees
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Industry, Production
Dev Reviews
by devworkplaces.com
Total
(2 Reviews)3.4
Workingconditions
4.0Engineering
2.8Career Growth
3.1Culture
3.6
PhD Student Data Analytics Automated Driving
- Location
- Wolfsburg
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
