APTIV is one of the largest automotive suppliers and a global technology leader, with more than 180,000 people worldwide. We address mobility's toughest challenges and deliver market-relevant solutions for our customers. Automotive Radars, along with other sensors form the backbone of Autonomous driving (AD) and ad advanced driver assistant systems (ADAS).
These technological advancements are enabled by complex radar systems with new waveforms, MIMO configurations and innovative antenna designs in different production technologies achieving additional sensing capabilities. Automotive radar systems are responsible for the detection and classification of objects and obstacles, their position, and speed relative to the ego vehicle.
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The development of innovative automotive radar array systems along with the understanding in millimeter-wave propagation plays a significant role in the development of future automotive radar systems. Therefore, we are searching for talented students who bring in new ideas for prototyping and testing of the new radar- and antenna systems in the European Advanced Radar Team starting from September or October 1st 2024.
Have you (almost) finished your Master's degree or are you a talented engineer working in RF- and signal processing domain and want to pursue a PhD? Do you want to bridge the gap between academics and industry and apply your scientific expertise to real challenges in the area of automated and autonomous driving?
Your tasks
- In general: Conduct research in topics related to automotive radar array designs for future radar system prototypes, consisting of e.g. array configuration analysis, radar module investigation including housing and radome, visualization of the results, generation of performance statistics considering production tolerances for mass production or
- Investigating new radar system concepts considering all system parameters and wave propagation effects and establishing the proof-of-concept with new automotive radar systems in vehicle on the street.
Your profile
- You have a master's or equivalent degree in Microwave Engineering or Electrical Engineering with experience in signal processing, Communication Engineering, Computational Physics with excellent grades.
- You have a profound understanding of Theoretical Electrical Engineering, High Frequency Engineering and Physics of wave propagation concepts.
- You have interest in signal processing, MIMO systems, radar systems, target angle estimation techniques etc.
- You have a very good knowledge in at least one of the following EM simulation tools: EMPIRE, HFSS, FEKO.
- You are able to program self-reliant in C/C++, MATLAB, Python
- You have very good English skills, German skills would be a plus.
- You are looking for a challenging task and like to be part of a team.
We offer
- Funding for a 3-year full-time PhD scholarship in cooperation with University of Wuppertal.
- The opportunity to work in a highly research-oriented environment that works on state-of-the-art topics using state-of-the-art tools within the ADAS/AD domain.
- Being part of a strong, supportive global team of highly educated Radar engineers.
- Hands-on work with real-world sensor data to develop and test your algorithms.
- Flexible and family-friendly working hours.
Are you interested in the position? Awesome! We are looking forward to receive your application containing your CV, a motivation letter, certifications and a current grade overview of courses taken in your Master's degree. Please submit your application as a single PDF file by e-mail to Prof. Dr. Markus Clemens at clemens@uni-wuppertal.de and Dr. Markus Stefer at markus.stefer@aptiv.com.
Further information about the position can be found on the university website www.tet.uni-wuppertal.de/de/offene-stellen/stipendium. Information about APTIV can be found on our website www.APTIV.com and on our YouTube channel www.youtube.com/APTIV. Our employees will also introduce themselves to you at www.APTIV.com/our-people.
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Aptiv is an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender identity, sexual orientation, disability status, protected veteran status or any other characteristic protected by law.