PhD Student Agentic AI Process Design Automotive Production (f/m/d)

Volkswagen Group; Wolfsburg; On-site; EUR 34,000 - 39,000; Full time

Benefits offered by this job

30 vacation days

Vehicle purchase/lease conditions

Scientific seminars

Doctoral network participation

Job summary

Volkswagen Group in Wolfsburg seeks a PhD Student Agentic AI Process Design for automotive production. You will research Generative/Agentic AI, design AI-driven process planning, and serve as Product Owner for prototype features aligning with industrial users and IT teams.

You’ll partner with a PhD project on AI-supported product planning, working across research and implementation to create feasible, explainable process steps for assembly lines.

Qualifications

• Good to very good university degree qualifying for doctoral studies in Computer Science, with a specialization in Artificial Intelligence.
• Deep expertise in Generative AI, Agentic AI, Large Language Models and LangChain DeepAgents.
• Very strong Python development skills, including AI prototypes, data pipelines, APIs, evaluation scripts, and software integration.
• Solid knowledge of RAG architectures, embeddings, vector databases, prompt engineering, and AI system design.
• Strong ability to work at the interface of research, prototype development, industrial users, IT teams, and funded project environments.

Responsibilities

• Developing AI-based methods for process design that generate feasible assembly process steps from product, engineering, and planning data.
• Designing and implementing agentic AI workflows using DeepAgents, LangChain, Python, tool-calling, memory, and retrieval mechanisms.
• Acting as Product Owner for prototype development, translating research needs into features, user stories, priorities, and validation criteria.
• Collaborating closely with the AI product-planning PhD project to integrate product-planning outputs into process-design logic.
• Evaluating AI-generated process designs against expert-created reference plans using quality, completeness, sequence, and explainability metrics.

Skills

Generative AI

Agentic AI

LangChain

Python development

AI system design

RAG architectures

Embeddings

Vector databases

Prompt engineering

Cross-functional collaboration

Education

PhD qualification in Computer Science

Tools

LangChain

DeepAgents

APIs

Data pipelines

Evaluation scripts

Software integration

Job description

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PhD Student Agentic AI Process Design Automotive Production (f/m/d)

Work environment

As a PhD candidate in Corporate Industrial Engineering at the Volkswagen Group, you will work on a highly innovative research topic at the intersection of Generative AI, Agentic AI, process design, industrial engineering, and automotive production planning. The position is embedded in the planned IPCEI-AI European funding project, contributing to the development of next-generation AI capabilities for industrial process planning. The objective is to develop AI-based methods and prototypes that support process planners in the automated generation, evaluation, and continuous improvement of manufacturing process designs. Your work will focus on transforming product, engineering, and planning information into detailed, feasible, and explainable process steps for automotive assembly. The research will build on product-planning outputs and will be closely coordinated with an already established PhD project focusing on AI-supported product planning. In addition to conducting scientific research, you will take on a key role as Product Owner for prototype development. This includes translating research requirements into prototype features, coordinating implementation priorities, and ensuring close alignment between AI development, industrial users, IT, and project stakeholders. The position builds on an existing research direction in Generative AI for autonomous process planning systems, which already emphasized AI model development, mathematical modeling, algorithm design, pilot projects, and collaboration with industrial engineering experts.

Possible tasks within this role

• Developing AI-based methods for process design that generate feasible assembly process steps from product, engineering, and planning data
• Designing and implementing agentic AI workflows using DeepAgents, LangChain, Python, tool-calling, memory, and retrieval mechanisms
• Acting as Product Owner for prototype development, translating research needs into features, user stories, priorities, and validation criteria
• Collaborating closely with the AI product-planning PhD project to integrate product-planning outputs into process-design logic
• Evaluating AI-generated process designs against expert-created reference plans using quality, completeness, sequence, and explainability metrics

The final doctoral topic is defined together with the professor. The prerequisite for the cooperation is the confirmation of supervision as well as a confirmed delimitation of topics by the professor of a university or research institution entitled to confer a doctorate.

Qualification requirements

• Good to very good university degree qualifying for doctoral studies in Computer Science, with a specialization in Artificial Intelligence
• Deep expertise in Generative AI, Agentic AI, Large Language Models and LangChain DeepAgents
• Very strong Python development skills, including AI prototypes, data pipelines, APIs, evaluation scripts, and software integration
• Solid knowledge of RAG architectures, embeddings, vector databases, prompt engineering, and AI system design
• Strong ability to work at the interface of research, prototype development, industrial users, IT teams, and funded project environments

The following documents must be submitted with the application

• Current transcript of records / Master’s or Diplom degree certificate

Keywords

Autonomous Manufacturing Planning, Multi-Agent Systems, Knowledge-Based Planning, Digital Process Planning, Cognitive Manufacturing, AI Orchestration, Production Logic Generation, Intelligent Workflow Planning, Semantic Knowledge Graphs, Manufacturing Process Intelligence

What we offer

• Attractive salary & 30 vacation days (+ 24.12. and 31.12. off)
• 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: 28876

Location: Wolfsburg, DE, 38436

Department: IT and Digitalization

Working Model: Full-time

Contract Type: Fixed-term

Remote Working: Up to 80%

Posting Date: Sep 25, 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?

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