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- Aufgaben: Develop innovative deep learning solutions for automated driving and prototype them in vehicles.
- Arbeitgeber: CARIAD is transforming automotive mobility with cutting-edge digital technology for the Volkswagen Group.
- Mitarbeitervorteile: Enjoy remote work options, 30 days paid leave, and collaboration with top universities.
- Warum dieser Job: Join a team of experts to shape the future of mobility while pursuing your PhD.
- Gewünschte Qualifikationen: Master’s degree in relevant fields and strong programming skills in Python or C++ required.
- Andere Informationen: 3-year program with opportunities for student supervision and international work experiences.
Das voraussichtliche Gehalt liegt zwischen 36000 - 60000 € pro Jahr.
It’s time to reshape automotive mobility for everyone!
At CARIAD, we have the mission to create and deliver leading digital technology for the Volkswagen Group.
We’re uniting over 6,000 global experts to build powerful software architectures that enable completely new customer experiences. Iconic models like the Volkswagen ID. Buzz, Audi Q6 e-tron, and Porsche Macan 4 Electric are already equipped with CARIAD technology.
Join us at CARIAD and become part of an exciting journey to shape the future of mobility!
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 develops an AI-based software stack for automated driving. We scout, leverage, and develop innovative techniques for improving the entire stack along perception, prediction, and planning. After drafting concepts, prototyping and improving them, we deploy novel solutions onto closed-loop vehicles to gain first-hand experience and transfer them to the series departments to bring them into production. We make sure that the PhD work is embedded into our team’s daily business while at the same time giving ample freedom that is necessary for research work.
WHAT YOU WILL DO
- Develop novel deep learning-based solutions for the future of automated driving
- Leverage the power of foundation models such as visual-language models to solve complex urban automated driving
- Built upon the state-of-the-art AI-based architectures to extend end-to-end automated driving 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
- 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 robotics 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 - Very good English skills in both oral and written form. Initial experience in scientific writing is an advantage
- Proven hands-on experience in real-world projects e.g. from student projects, previous working experience or internships
- High level of commitment, initiative and teamwork. Independent, goal-oriented and systematic way of working make you the ideal candidate
- 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
- If you have further questions about the candidate journey at CARIAD, please contact us: careers@cariad.technology
PhD Candidate – Foundation models for automated driving (m/f/d) Arbeitgeber: CARIAD SE
Kontaktperson:
CARIAD SE HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: PhD Candidate – Foundation models for automated driving (m/f/d)
✨Tip Number 1
Familiarize yourself with the latest advancements in deep learning and automated driving technologies. This will not only help you during the interview but also demonstrate your genuine interest in the field.
✨Tip Number 2
Engage with the academic community by attending conferences or workshops related to AI and robotics. Networking with professionals in the field can provide valuable insights and potentially lead to recommendations.
✨Tip Number 3
Showcase any hands-on projects you've worked on, especially those involving Python, C++, or machine learning frameworks. Being able to discuss your practical experience will set you apart from other candidates.
✨Tip Number 4
Prepare to discuss your ideas on how foundation models can be applied to urban automated driving. Having innovative concepts ready will highlight your creativity and problem-solving skills during the interview.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: PhD Candidate – Foundation models for automated driving (m/f/d)
Tipps für deine Bewerbung 🫡
Understand the Role: Make sure you fully understand the responsibilities and requirements of the PhD Candidate position at CARIAD. Tailor your application to highlight how your skills and experiences align with their mission to reshape automotive mobility.
Highlight Relevant Experience: In your CV and cover letter, emphasize your academic background in Computer Science, Robotics, or related fields. Showcase any hands-on experience with deep learning, robotics, or programming languages like Python and C++.
Demonstrate Research Skills: If you have prior experience in scientific writing or research projects, make sure to mention it. Discuss any relevant publications or projects that demonstrate your ability to contribute to innovative topics in automated driving.
Craft a Strong Cover Letter: Write a compelling cover letter that not only outlines your qualifications but also expresses your passion for the field of automated driving and your desire to work with CARIAD. Make it personal and specific to the role.
Wie du dich auf ein Vorstellungsgespräch bei CARIAD SE vorbereitest
✨Showcase Your Technical Skills
Be prepared to discuss your programming experience in Python and C++. Highlight any projects where you've utilized machine learning frameworks like TensorFlow or PyTorch. This will demonstrate your technical proficiency and relevance to the role.
✨Demonstrate Your Research Experience
Since the position involves developing novel solutions, share your previous research projects or any relevant academic work. Discuss your approach to problem-solving and how you’ve contributed to publications or presentations at conferences.
✨Emphasize Team Collaboration
CARIAD values teamwork, so be ready to provide examples of how you've successfully worked in teams. Discuss your role in collaborative projects and how you contribute to achieving common goals.
✨Prepare Questions About the Role
Show your interest in the position by preparing thoughtful questions about the PhD program, the team dynamics, and the specific projects you might be involved in. This not only shows your enthusiasm but also helps you assess if the role is a good fit for you.
