PhD Candidate for Multi-modal foundation models for human centric automative interaction (f / m[...]

CARIAD; Wolfsburg; Hybrid; EUR 50.000 - 70.000; Vollzeit

Zusammenfassung

A leading automotive software company in Wolfsburg is seeking PhD candidates to develop innovative AI-driven solutions for infotainment systems. Candidates should have a Master's degree in a relevant field, strong knowledge of AI, and excellent programming skills. This program offers the opportunity to work closely with top universities and is designed to promote cutting-edge research and technologies. Remote work options are available.

Leistungen

30 days paid leave

Remote work options

Possibility to supervise students

Special events and trainings

Qualifikationen

• In-depth knowledge in AI and deep learning with very good academic performance.
• Excellent programming knowledge and experience in Python and/or C++.
• Proven hands-on experience in real-world projects.
• Very good English skills in both oral and written form.

Aufgaben

• Develop novel GenAI-based solutions for infotainment systems.
• Leverage multi-modal models to transform user experience.
• Investigate technologies for embedded environments in vehicles.
• Publication of results in high-quality conferences and journals.

Kenntnisse

AI and deep learning

Programming in Python

Programming in C++

User-experience principles

Machine learning frameworks

Ausbildung

Master's degree in relevant field

Tools

TensorFlow

PyTorch

Keras

Caffe

Jobbeschreibung

We are CARIAD, the automotive software company of the Volkswagen Group. Our teams build automotive software platforms and digital customer functions for iconic brands like Audi, Volkswagen, and Porsche - supporting the Volkswagen Group in becoming the leading automotive technology company. With CARIDIANS in Germany, the USA, China, Estonia, and India, we are transforming automotive mobility for everyone.

Join us and be part of this exciting journey!

YOUR TEAM

The aim of our PhD Program is to promote innovative topics that are relevant to CARIAD. We cooperate with top universities and bring new research projects to life. Our PhD candidates get the opportunity to create new innovations in their projects for CARIAD and the respective scientific field. All PhD projects are accompanied by a supervising professor and a dedicated CARIAD mentor. Our PhD candidates further benefit from development programs and a strong academic exchange within the internal PhD network.

Our pre-development department creates AI-driven software for advanced infotainment systems and the smart in-cabin environment. We identify, adapt, and build innovative solutions, specifically utilizing the newest AI technologies to make the vehicle interior more intuitive, responsive, and personalized. After conceptualizing, prototyping, and refining, we implement these novel features in test environments to gather practical insights before handing them off to series development for production. PhD work is closely integrated within our team, balancing project needs with the essential freedom for research.

WHAT YOU WILL DO

• Develop novel GenAI-based solutions for the future of infotainment systems and in-cabin environment
• Leverage the power of foundation multi-modal models such as visual-language models to transform the user experience
• Built upon the state-of-the-art AI-based architectures to innovate infotainment systems with your ideas
• Work in a team of ambitious and highly motivated experts to come up with innovative concepts and solutions
• Grow small ideas into code and demonstrate their effectiveness in prototype vehicles
• Investigate cutting-edge technologies to bring foundation multi-modal models into embedded environments within prototype vehicles
• Publication of the results in the form of papers at high-quality conferences and journals

WHO YOU ARE

Master's degree in Computer Science, Robotics, Electrical Engineering, Mechanical Engineering, Engineering Cybernetics, Mathematics or equivalent

In depth knowledge in AI and deep learning with very good academic performance

Excellent programming knowledge and experience in Python and / or C++.

Experience with common machine learning frameworks such as TensorFlow, PyTorch, Keras, Caffe etc. is an advantage

High level of commitment, initiative and teamwork. Independent, goal-oriented and systematic way of working make you the ideal candidate

Proven hands-on experience in real-world projects e.g. from student projects, previous working experience or internships

Very good English skills in both oral and written form. Initial experience in scientific writing and good German language skills are an advantage

Experience with user-experience principles and user studies to validate concepts from a user-centric perspective is an advantage

Experience with cloud-based programming and CI / CD frameworks is an advantage

NICE TO KNOW

Duration : 3 years

Working with high-ranked University

Possibility to supervise students

Remote work options

Temporary work from abroad in selected countries

30 days paid leave

Special Events e.g. PhD-Day (Doktorandentag), Trainings

Note : Please attach a transcript of records including a module overview to your application via the system after you have submitted your application. Otherwise the application cannot be processed

Important : The PhD admission requirements are set by the university and candidates have to fulfill these requirements before starting their projects. Candidates need a confirmation by the supervisor professor before onboarding (not necessary for application)

If you have further questions about the candidate journey at CARIAD, please contact us : [e-mail]

At CARIAD, we embrace individuality and diversity because we believe our differences make us stronger. We actively seek to build teams with a variety of backgrounds, perspectives, and experiences. Our goal is to create an environment where everyone feels valued and empowered to contribute. If you need assistance with your application due to a disability, please reach out to us at [e-mail] - we are happy to support you.