Ph.D. Student Radar Machine Learning / Artificial Intelligence (f/m/d)

TN Germany; Wuppertal; Vor Ort; EUR 30.000 - 40.000; Vollzeit

Zusammenfassung

A leading company in the automotive sector is offering a Ph.D. scholarship in Radar Machine Learning/AI. This position involves enhancing radar perception through innovative machine learning techniques. Candidates should possess a Master's degree in relevant fields and programming skills in Python or C++. Join a global team and contribute to cutting-edge research while enjoying a supportive work environment.

Leistungen

Funding for a 3-year full-time Ph.D. scholarship

Opportunity to work on cutting-edge machine learning solutions

Hands-on experience with real-world data

Support from a global team of experienced engineers

Qualifikationen

• Strong academic record and understanding of mathematical and physical concepts.
• Self-motivated, hands-on, and eager to tackle challenging tasks.

Aufgaben

• Explore new methods to improve radar perception using machine learning.
• Contribute to the development of next-generation radar perception systems.

Kenntnisse

Python

C++

Communication

Ausbildung

Master’s degree in Computer Science

Master’s degree in Engineering

Master’s degree in Math

Master’s degree in Physics

Jobbeschreibung

Social network you want to login/join with:

Ph.D. Student Radar Machine Learning / Artificial Intelligence (f/m/d), Wuppertal

col-narrow-left

Client:

Aptiv

Location:

Wuppertal, Germany

Job Category:

Other

-

EU work permit required:

Yes

col-narrow-right

Job Reference:

3b82bf719276

Job Views:

1

Posted:

12.05.2025

Expiry Date:

26.06.2025

col-wide

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. A key technology for advancing driver assistance systems and autonomous driving is machine learning and artificial intelligence.

Traditionally, radar has been considered a measurement device without significant machine learning applications in signal processing. However, with modern radar sensors and complex environments, machine learning can significantly enhance environmental interpretation.

This work aims to explore new methods to improve radar perception for various applications using machine learning, contributing to the development of next-generation radar perception systems.

Your Profile

• Master’s degree in Computer Science, Engineering, Math, Physics, or related fields
• Proficiency in programming languages like Python or C++
• Strong academic record and understanding of mathematical and physical concepts
• Excellent communication skills in English (written and spoken)
• Self-motivated, hands-on, and eager to tackle challenging tasks
• Good time management and independence
• Commitment to growth and development within an inclusive work environment
• Dedication to safety and making a positive impact
• Supportive attitude towards work-life balance and well-being

We Offer

• Funding for a 3-year full-time Ph.D. scholarship in collaboration with a university
• Opportunity to work on cutting-edge machine learning solutions in a research environment
• Hands-on experience with real-world data
• Support from a global team of experienced machine learning engineers

Interested?

Great! Please apply with your CV and include your academic grade overview.