PhD Student AI Production Job at Volkswagen AG (Wolfsburg)

Phd Student Physical AI Agents / AI Robotics Production

In the team 'Digital & AI Technologies', we shape the automotive production and ...

Location

Germany , Wolfsburg

Salary:

Not provided

Volkswagen AG

Expiration Date

Until further notice

Requirements

Good to very good university degree qualifying for doctoral studies in the fields of (industrial) engineering, (industrial) computer science, or a comparable field of study
In-depth knowledge in the field of artificial intelligence (expertise in a specific area such as AI Agents and AI Robotics is an advantage)
Practical experience in the field of production and logistics (e.g., as a research assistant, working student, or through internships) is desirable
Enjoyment in working on complex issues
Experience in project management
Business-oriented thinking and acting, with high motivation and commitment
Strong team and communication skills, including intercultural competence
German or English language level C1

Job Responsibility

Identifying potential application areas of Physical AI Agents / AI Robotics for systematically realizing cost-saving potentials in manufacturing
Investigating technological options (Reinforcement Learning, Large Action Models, etc.) and developing guidelines for the level of autonomy of AI
Developing a comprehensive concept for the use of Physical AI Agents in production and validating it based on concrete use cases
Leading practical digitalization and AI projects in production and scouting the latest technologies in the context of Industry 4.0
Contributing to the further development of the department in an agile team and in a modern work environment

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

Fulltime

PhD Student Security Engineering AI

The digitalization of modern, highly networked vehicles requires protection agai...

Location

Germany , Berlin; Wolfsburg

Salary:

Not provided

Volkswagen AG

Expiration Date

Until further notice

Requirements

Very good university degree qualifying for doctoral studies in engineering, natural sciences, computer science, or comparable fields of study
Relevant theoretical and practical experience with AI methods and technologies
Enthusiasm for cybersecurity
Initiative and ability to work in a team
Systematic and independent way of working
English and German language level B2

Job Responsibility

Analyzing, assessing, and evaluating the benefits of applying artificial intelligence methods in security engineering within vehicle development
Designing and testing the application of selected artificial intelligence methods for the creation, verification, and validation of security cases for vehicle systems
Designing and evaluating procedures for testing artificial intelligence methods in security engineering for development scopes subject to homologation and certification

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

Fulltime

PhD Student Innovative Laser Beam Welding Technology Battery Production

PhD position focusing on innovative laser beam welding technology for battery pr...

Location

Germany , Braunschweig

Salary:

Not provided

Volkswagen AG

Expiration Date

Until further notice

Requirements

Good to very good university degree qualifying for doctoral studies in mechanical engineering, automotive engineering, physics, or a comparable qualification
Knowledge and experience in the field of laser welding technology (specifically: aluminum alloys), optionally laser welding expert or welding engineer
Materials expertise in the field of metallurgy, ideally welding or solidification processes
Knowledge of finite element modeling and phase field modeling
Knowledge of statistical experimental validation methods and test execution
Outstanding initiative, ability to work in a team, and structured approach to work
Outstanding communication and presentation skills
English language level B2 and German language level C1

Job Responsibility

Systematically selecting and designing laser welding technologies in the battery environment
Developing a methodology for designing weld seams based on requirements and enabling the transferability of results to other geometries and material alloys
Optimizing seam geometry through modeling and optionally integrating AI methods
Establishing correlations, such as between bonding area and strength requirements of laser weld seams in battery stacks
Considering FEM analysis of material behavior

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

Fulltime

PhD Student

At Volkswagen Group Innovation, we are driving the future of robotics through in...

Location

Germany , Wolfsburg

Salary:

Not provided

Volkswagen AG

Expiration Date

Until further notice

Requirements

Good to very good university degree qualifying for doctoral studies in computer science, robotics, electrical engineering, mechanical engineering, or related fields
Solid knowledge in at least one of the following areas: machine learning / deep learning, robotics / ROS / control engineering, computer vision
Programming experience (e.g., Python, C++, ROS)
Interest in interdisciplinary research and complex systems
Independent, structured working style combined with strong team skills
Ideally, initial experience with real robotic systems or simulations (e.g., Gazebo, Isaac Sim, Omniverse)

Job Responsibility

Researching and developing methods for coordinating autonomous robots in connected production environments, focusing on decentralized decision-making and multi-agent systems
Designing and implementing real-time capable AI algorithms for planning, navigation, and dynamic task allocation
Applying reinforcement learning, edge AI, and sensor fusion to create adaptive systems for changing environments
Using digital twins and Sim2Real transfer to efficiently translate simulation results to real-world robotic platforms
Developing and integrating multimodal control concepts (e.g., Vision-Language-Action Models) and designing intuitive human-robot interactions in collaborative scenarios

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

Fulltime

Research Program Manager

At Furhat Robotics we believe robots, done right, can have an incredible impact ...

Location

Sweden , Stockholm

Salary:

Not provided

Furhat Robotics

Expiration Date

Until further notice

Requirements

PhD in robotics, AI, cognitive science, computer science, or related fields
3+ years of experience in research project coordination, preferably within EU-funded programs (can be during doing your PhD)
Prior experience in academia or at a research-intensive company/startup
Experience with grant proposal preparation and academic consortium management
Experience setting up and supervising successful Master's student theses
Strong organizational and communication skills
Excellent English (written and spoken)
Interest in human-robot interaction, AI, and social technologies

Job Responsibility

Manage active EU-funded projects (e.g. Horizon Europe, Marie Skłodowska-Curie, etc)
Coordinate reporting, deliverables, and partner communication
Oversee project budgets, timelines, and compliance with funding rules
Represent Furhat in consortium meetings and reviews
Prepare and submit project reports, financial summaries, and audits
Supervise or co-supervise staff (PhD and Masters students)
Develop and maintain relationships with academic labs and scientific institutions using Furhat
Track and report research publications, thesis projects, and new use cases involving Furhat robots
Identify and support promising research groups with technical and community assistance
Supervise and coordinate MSc thesis students and research interns hosted at Furhat

PhD Student AI-assisted assembly planning

Our department is responsible for the comprehensive planning of a modern, produc...

Location

Germany , Hannover

Salary:

Not provided

Volkswagen AG

Expiration Date

Until further notice

Requirements

Good to very good university degree qualifying for doctoral studies in the technical field with a focus on mechanical engineering, industrial engineering, production and logistics, computer science, or a similar course of study
German Language Level B2
Confident use of MS Office
Affinity for planning production processes and practical AI use cases
Excellent problem‑solving abilities and a willingness to develop innovative ideas
Strong capability for interdisciplinary collaboration

Job Responsibility

Use of an AI system in the planning process and throughout the entire lifecycle to ensure consistent data preparation and processing (process, product, layout, and resource data in 3D), enabling planning activities to be carried out faster and more efficiently
The AI is trained in such a way that no iterative or optimization‑based approach is required in the planning process anymore
instead, the complex interdependencies are processed in advance using rule‑based logic and delivered as a holistic, finalized planning result in real time

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

Fulltime

Research Program Manager, Academic Relations

Meta's Fundamental AI Research (FAIR) team is dedicated to advancing research in...

Location

France , Paris

Salary:

Not provided

PhD Student Agentic AI - DataLab Munich

You will research and advance agentic AI technologies as well as orchestration a...

Location

Germany , München

Salary:

Not provided

Volkswagen AG

Expiration Date

Until further notice

Requirements

Good to very good university degree qualifying for doctoral studies in Computer Science, Computational Linguistics, Mathematics, Artificial Intelligence, or a related technical field
Strong foundations in mathematics, machine learning, and software engineering, including experience in designing and implementing complex software systems as well as proven practical experience with generative AI and machine learning models, particularly large language models and related frameworks
Solid programming skills in Python and experience with relevant AI/ML libraries and frameworks
Experience with cloud platforms such as AWS and/or Microsoft Azure, including deployment and operation of AI services.
Familiarity with version control systems (e.g., Git) and collaborative development workflows and tools
English language level B2
Strong analytical thinking, high level of initiative, and ability to work independently as well as collaboratively in interdisciplinary teams
Excellent communication skills and ability to present complex technical concepts clearly

Job Responsibility

Researching, designing, and implementing scalable agentic AI architectures and orchestration frameworks for large‑language‑model‑based systems
Developing and prototyping autonomous agents and multi‑agent workflows, integrating LLMs with internal IT systems, tools, and enterprise data sources
Contributing hands‑on to the development and enhancement of internal AI products, including implementing, testing, and evaluating agentic capabilities
Shaping and supporting the company’s agentic transformation by identifying, designing, and implementing intelligent automation solutions for internal IT use cases
Conducting scientific evaluation of developed approaches and publishing research findings in collaboration with academic and industry partners

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

Fulltime

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