PhD Position (f/m/d) at APTIV Wuppertal

Topic — Cooperative Interference Mitigation Strategies

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, e.g. radar sensors.

Radar sensors are capable of detecting and classifying objects of interest and obstacles in adverse environmental conditions. Together with other complementary sensors form the backbone of autonomous driving (AD) and advanced driver assistance systems (ADAS). Therefore market penetration will increase in the coming years. This means that it is necessary to develop interference mitigation strategies that ensure the coexistence of radar systems in any scenario. 

We are looking for talented engineers to come up with innovative ideas and contribute to the development of cooperative interference mitigation strategies. 

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 April or Mai 1^st 2025.

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

• Machine Learning Approaches for Interference Mitigation Methods
• Interference Mitigation Strategies for actual and future Radar Systems (including new waveforms) in particular by the application of  co-operative Interference Mitigation Methods
• Simulation & Implementation IDM
• Experimental Verification with real world sensors 
• Evaluation of RADAR sensor performance 

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 are able to program self-reliant in C/C++, MATLAB, Python
• You have very good English skills, German skills is a plus.
• Knowledge in at least one of the following EM simulation tools: EMPIRE, HFSS, FEKO is 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[at]uni-wuppertal.de and
Felipe Torres at felipe.torres[at]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.