Analyzing existing development, decision-making, and coordination processes, as well as identifying opportunities and requirements for the use of AI in complex product development processes
Conceptualizing and scientifically advancing an AI-native development model, taking into account organizational, technical, and cultural changes within large development organizations
Investigating and shaping collaboration between humans and AI systems, including roles, responsibilities, competency requirements, and governance principles
Modeling and evaluating AI virtual agent teams in terms of role distribution, decision logic, escalation mechanisms, auditability, and human-AI as well as agent-agent collaboration
Testing and evaluating new ways of working together with business departments, IT experts, developers, and managers in an industrial environment
The final doctoral topic will be defined together with the professor. The prerequisite for cooperation is the confirmation of supervision and a confirmed definition of the topic by the professor of a university or research institution entitled to award doctorates.
Qualification requirements
Good to very good university degree qualifying for doctoral studies in computer science, business administration/engineering with a focus on AI, human-machine interaction or comparable fields of study
Sound knowledge of artificial intelligence (e.g. ML/Deep Learning, LLM basics or multi-agent approaches) as well as interest in its application in socio-technical systems
Understanding of software and development processes (e.g. CI/CD, MLOps, process modeling), ideally with reference to complex product/system landscapes
Interest in the design of AI-supported organizational and development processes and, ideally, initial practical experience in digital transformation, process development or cross-departmental collaboration in complex organizations
Ability to bring together technical, organizational and human perspectives and collaborate with different stakeholders in a targeted manner
Initial knowledge in one or more of the following areas is an advantage: digitalization and transformation methods, vehicle development processes, agile methods or change management
Analytical thinking, structured and independent way of working as well as a high level of initiative
German language level C1 and English language level B2
The following documents must be submitted with the application
Curriculum Vitae
Cover letter with the motivation for a doctoral degree and the desired research focus
Current transcript of records / Master’s or Diplom degree certificate
Keywords
Dissertation, AI‑Native Development Process, AI Governance Research, Future of Work Research, Multi-Agent Systems, Socio-Technical Systems, Agile Transformation Research, Explainable AI (XAI)
What we offer
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
The gross monthly salary for this position, based on a 35-hour workweek and scaled according to the respective year of employment, is €3,030 (1st year), €3,194 (2nd year), and €3,497 (3rd year). In addition, there is a monthly allowance of €167 as well as a 49% share of the variable bonus.
Contact person for this posting: Fabian Wenzel
Work environment
Volkswagen AG is actively shaping the transformation of technical development towards digital, data-driven and AI-supported ways of working. At the AI Competence Center of Technical Development in Wolfsburg, you will work in an interdisciplinary environment on the question of how product development, collaboration and decision-making can be further developed in an AI-native development organization. In particular, the focus is on governance, security, traceability, responsibilities and effective cooperation between humans and AI. In addition to the workplace in Wolfsburg, occasional attendance at the supervising institute is planned in order to strengthen the scientific exchange with the professor and other doctoral candidates. You will work on issues at the interface of technology, product development, processes and organization and transfer scientific findings into a complex industrial application context. The position is aimed at people who not only understand technological developments, but also want to actively shape their use in development organizations. The focus is on research as well as process and organizational development, not on the independent development of extensive software systems. If you would like to actively shape the future of AI-supported development organizations, we look forward to receiving your application.
Possible tasks within this role
Analyzing existing development, decision-making, and coordination processes, as well as identifying opportunities and requirements for the use of AI in complex product development processes
Conceptualizing and scientifically advancing an AI-native development model, taking into account organizational, technical, and cultural changes within large development organizations
Investigating and shaping collaboration between humans and AI systems, including roles, responsibilities, competency requirements, and governance principles
Modeling and evaluating AI virtual agent teams in terms of role distribution, decision logic, escalation mechanisms, auditability, and human-AI as well as agent-agent collaboration
Testing and evaluating new ways of working together with business departments, IT experts, developers, and managers in an industrial environment
The final doctoral topic will be defined together with the professor. The prerequisite for cooperation is the confirmation of supervision and a confirmed definition of the topic by the professor of a university or research institution entitled to award doctorates.
Qualification requirements
Good to very good university degree qualifying for doctoral studies in computer science, business administration/engineering with a focus on AI, human-machine interaction or comparable fields of study
Sound knowledge of artificial intelligence (e.g. ML/Deep Learning, LLM basics or multi-agent approaches) as well as interest in its application in socio-technical systems
Understanding of software and development processes (e.g. CI/CD, MLOps, process modeling), ideally with reference to complex product/system landscapes
Interest in the design of AI-supported organizational and development processes and, ideally, initial practical experience in digital transformation, process development or cross-departmental collaboration in complex organizations
Ability to bring together technical, organizational and human perspectives and collaborate with different stakeholders in a targeted manner
Initial knowledge in one or more of the following areas is an advantage: digitalization and transformation methods, vehicle development processes, agile methods or change management
Analytical thinking, structured and independent way of working as well as a high level of initiative
German language level C1 and English language level B2
The following documents must be submitted with the application
Curriculum Vitae
Cover letter with the motivation for a doctoral degree and the desired research focus
Current transcript of records / Master’s or Diplom degree certificate
Keywords
Dissertation, AI‑Native Development Process, AI Governance Research, Future of Work Research, Multi-Agent Systems, Socio-Technical Systems, Agile Transformation Research, Explainable AI (XAI)
What we offer
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
The gross monthly salary for this position, based on a 35-hour workweek and scaled according to the respective year of employment, is €3,030 (1st year), €3,194 (2nd year), and €3,497 (3rd year). In addition, there is a monthly allowance of €167 as well as a 49% share of the variable bonus.
Contact person for this posting: Fabian Wenzel
Job ID
26153
Company
Volkswagen AG
Location
Wolfsburg, DE, 38436
Department
Research and Development
Career Level
PhD students
Working Model
Full-time
Contract Type
Fixed-term
Remote Working
Up to 40%
Posting Date
Oct 3, 2026
Volkswagen - that's why
We want to revolutionize and shape the mobility of tomorrow sustainably. For this purpose, we are looking for talents who are willing to break completely new ground with us and are not afraid to make mistakes. We are looking for personalities who want to achieve something extraordinary. And talents who believe in the innovative power of big ideas. Are you in?
Go to our career website
Questions?
Your application | All you need to know
FAQ – Frequently Asked Questions
Mail: einstieg@volkswagen.de ✉️
Hotline: +49 5361 9 36363
The costs for calls depend on the your provider's tariff. Roaming charges may apply for calls from abroad.
Technical Issues?
Technical Recruiting Support
Legal Notices
Data Privacy | Volkswagen AG
Imprint | Volkswagen AG
Apply now »
Find similar jobs
Research and Development
Imprint Volkswagen AG
Terms of Use
Privacy Policy
Cookie Manager
Cookie Policy
FAQ
Whistleblower System
Notice | This job portal is provided and operated centrally by Volkswagen AG. The job vacancies shown in the job portal, as well as further information, are defined and managed by the respective Group companies and only provided centrally on a systemic basis by Volkswagen AG in its role as provider of the job portal.
×
Cookie Consent Manager
When you visit any website, it may store or retrieve information on your browser, mostly in the form of cookies. Because we respect your right to privacy, you can choose not to allow some types of cookies. However, blocking some types of cookies may impact your experience of the site and the services we are able to offer.
Required Cookies
These cookies are required to use this website and can't be turned off.
Required Cookies
Show More Details
Required Cookies
- Provider
- Description
- Enabled
SAP as service provider
We use the following session cookies, which are all required to enable the website to function:
"route" is used for session stickiness
"careerSiteCompanyId" is used to send the request to the correct data center
"JSESSIONID" is placed on the visitor's device during the session so the server can identify the visitor
"Load balancer cookie" (actual cookie name may vary) prevents a visitor from bouncing from one instance to another
Cookies from provider SAPasserviceprovider are required and cannot be turned off
Functional Cookies
These cookies provide a better customer experience on this site, such as by remembering your login details, optimizing video performance, or providing us with information about how our site is used. You may freely choose to accept or decline these cookies at any time. Note that certain functionalities that these third-parties make available may be impacted if you do not accept these cookies.
Consent to all Functional Cookies
Show More Details
Functional Cookies
- Provider
- Description
- Enabled
YouTube
YouTube is a video-sharing service where users can create their own profile, upload videos, watch, like, and comment on videos. If you do not consent to the use of YouTube cookies, you will not be able to view or interact with YouTube videos.
Cookie Policy
Privacy Policy
Terms and Conditions
Consent to cookies from provider YouTube
Vimeo
Vimeo is a video hosting, sharing, and services platform focused on the delivery of video. If you do not consent to the use of Vimeo cookies, you will not be able to view or interact with Vimeo videos.
Cookie Policy
Privacy Policy
Terms and Conditions
Consent to cookies from provider Vimeo
Confirm My Choices
- Reject Optional Cookies
- Accept All Cookies