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- Aufgaben: Dive into radar machine learning and AI to enhance perception for autonomous driving.
- Arbeitgeber: Join Aptiv, a global leader in automotive technology with over 190,000 employees.
- Mitarbeitervorteile: Enjoy a fully funded 3-year Ph.D. scholarship and competitive health insurance.
- Warum dieser Job: Work on cutting-edge tech in a supportive, inclusive environment that values safety and innovation.
- Gewünschte Qualifikationen: Master’s degree in relevant fields and strong programming skills in Python or C++ required.
- Andere Informationen: Apply with your CV and grade overview to kickstart your research career!
Das voraussichtliche Gehalt liegt zwischen 36000 - 60000 € pro Jahr.
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Ph.D. Student Radar Machine Learning / Artificial Intelligence (f/m/d), Wuppertal
Client:
Aptiv
Location:
Wuppertal, Germany
Job Category:
Other
EU work permit required:
Yes
Job Reference:
3b82bf719276
Job Views:
2
Posted:
07.03.2025
Expiry Date:
21.04.2025
Job Description:
Ph.D. Scholarship Radar Machine Learning / Artificial Intelligence
APTIV is one of the largest automotive suppliers and a global technology leader, with more than 190,000 people worldwide. We address mobility’s toughest challenges and deliver market-relevant solutions for our customers. One key technology for further pushing the boundaries of advanced driver assistance systems and autonomous driving is machine learning and artificial intelligence.
Radar has been considered a measurement device for a long time without machine learning playing a major role in its signal processing. However, with more modern radar sensors and in more complex environments, machine learning can bring significant value to the interpretation of the environment.
This work will investigate new methods to improve radar perception for different applications using machine learning to enable the development of next-generation radar machine learning perception.
Your Profile
- You hold a master’s degree in Computer Science, Engineering, Math, Physics, or a similar field.
- Good knowledge of programming languages like Python or C++.
- Strong academic performance and a solid understanding of mathematical and physical theoretical concepts.
- Good communication skills (written and spoken) in English.
- Self-motivated, hands-on spirit, and enjoy working on challenging tasks.
- Good time management and self-reliance.
You can grow at Aptiv. Aptiv provides an inclusive work environment where all individuals can grow and develop, regardless of gender, ethnicity, or beliefs.
You can have an impact. Safety is a core Aptiv value; we want a safer world for us and our children, one with: Zero fatalities, Zero injuries, Zero accidents.
You have support. We ensure you have the resources and support you need to take care of your family and your physical and mental health with a competitive health insurance package.
We Offer
- Funding for a 3-year full-time Ph.D. scholarship in cooperation with a university.
- Opportunity to work on state-of-the-art machine learning solutions in a research-oriented environment.
- Hands-on work with real-world data.
- A strong global team of highly educated machine learning engineers to contribute and support you.
Interested?
Great! Please apply and include your CV and (important!) a grade overview.
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Ph.D. Student Radar Machine Learning / Artificial Intelligence (f/m/d) Arbeitgeber: TN Germany
Kontaktperson:
TN Germany HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Ph.D. Student Radar Machine Learning / Artificial Intelligence (f/m/d)
✨Tip Number 1
Make sure to highlight any relevant research experience you have in machine learning or artificial intelligence. Discuss specific projects where you've applied these technologies, especially in the context of radar or sensor data.
✨Tip Number 2
Network with professionals in the automotive and AI fields. Attend conferences or workshops related to machine learning and radar technology to meet potential colleagues and mentors who can provide insights into Aptiv's work culture.
✨Tip Number 3
Familiarize yourself with the latest advancements in radar technology and machine learning applications. Being able to discuss current trends and innovations during your interview will demonstrate your passion and knowledge in the field.
✨Tip Number 4
Prepare to showcase your programming skills, particularly in Python or C++. Consider working on a small project or contributing to open-source initiatives that involve radar data processing to strengthen your practical experience.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Ph.D. Student Radar Machine Learning / Artificial Intelligence (f/m/d)
Tipps für deine Bewerbung 🫡
Understand the Role: Make sure you fully understand the requirements and responsibilities of the Ph.D. position at Aptiv. Familiarize yourself with the key technologies mentioned, such as machine learning and radar systems.
Tailor Your CV: Customize your CV to highlight relevant experience in computer science, engineering, or related fields. Emphasize your programming skills in Python or C++, and any projects or research that align with radar technology or machine learning.
Prepare a Grade Overview: Since the job description specifically requests a grade overview, ensure you compile this document clearly and concisely. Include all relevant academic achievements that showcase your strong academic performance.
Craft a Strong Cover Letter: Write a compelling cover letter that explains your motivation for applying, your interest in radar machine learning, and how your background makes you a suitable candidate for this Ph.D. position. Highlight your self-motivation and hands-on spirit.
Wie du dich auf ein Vorstellungsgespräch bei TN Germany vorbereitest
✨Showcase Your Technical Skills
Be prepared to discuss your knowledge of programming languages like Python or C++. Highlight any relevant projects or research you've done that demonstrate your proficiency in these areas.
✨Demonstrate Your Understanding of Machine Learning
Since the role focuses on radar perception using machine learning, be ready to explain key concepts and methodologies. Discuss any experience you have with machine learning algorithms and how they can be applied to radar technology.
✨Communicate Clearly
Good communication skills are essential for this position. Practice explaining complex technical concepts in simple terms, as you may need to convey your ideas to a diverse audience.
✨Prepare Questions About the Role
Show your interest in the position by preparing thoughtful questions about the Ph.D. scholarship, the research environment at Aptiv, and potential projects you might work on. This demonstrates your enthusiasm and proactive attitude.
