Thesis: Neural Networks for Radar (f/m/div)*

  • Infineon Technologies
  • München, Germany
  • 05/04/2021
Full time Data Science Data Analytics Big Data Data Management Statistics

Job Description

You are close to finishing your studies in electrical engineering, computer science or a similar field and you are looking for an exciting topic for your thesis? Then this might be the perfect task for you! Join our team in Munich and implement your thesis in the area of neural networks for radar. Sounds good? Don’t miss the chance and apply now!

Job description

In your new role you will:

Evaluate the state-of-the-art Complex-Valued Neural Network (CVNN) Architectures

  • Analyze their potential to replace/augment classical Radar processing
  • Propose and conceptual implement a CVNN trained on existing Radar datasets
  • Compare various complex activation functions, complex convolutional layers and more, to a real-valued reference network
  • Purposeful enhance pre-processing of FMCW Radar data

Your Profile

You are best equipped for this task if you:

Currently study Electrical Engineering, Computer Science, Physics, Math or a related field

  • Already have a background in Deep Learning (TensorFlow and/or PyTorch)
  • Possess an understanding of fundamentals of Digital Signal Processing
  • Are familiar with Python
  • Ideally have gained experience in Radar or Custom NN Layers
  • Have a proficient command of English

Please attach the following documents to your application:

  • CV in English;
  • Certificate of enrollment at university;
  • Latest grades transcript;
  • High school report.


What we offer you at Campeon

In our headquarter in Neubiberg near Munich, more than 3.300 employees are working in research & development, several central functions, IT and many more.