Rohde & Schwarz develops, produces and markets innovative products for test and measurement, broadcast and media, cybersecurity, secure communications and monitoring and network testing areas. Founded 85 years ago, the independent company has an extensive sales and service network in more than 70 countries.


Join our Test and Measurement Division in M√ľnchen (Germany) at the earliest possible date as

Master thesis (m/f/d)
Machine Learning Based Blind SINR Estimation

Your tasks:
  • Training a neural network to estimate interference or SINR blindly
  • Generating meaningful test data for the training process
  • Optimizing the training to robustify the neural network
  • Defining meaningful benchmarks to evaluate the performance of the neural network
  • Considering possible hardware implementations when optimizing the structure of the neural network
Your qualifications:
  • Academic studies in electrical engineering, communication engineering, computer science or comparable field of study
  • Good knowledge in communications engineering and signal processing
  • Knowledge of machine learning
  • Programming skills, desirably in Matlab and Python
  • Good knowledge of written and spoken English

Our offer: You can expect very good payment, excellent terms and outstanding opportunities for growth and development. We will also be happy to help you find a room. We have a number of favorably priced accommodations at our disposal.

Our recruiting team is looking forward to your application. It's best to apply online with the reference number DE-MUC-50720247-000. Our colleague Nathalie Siller is happy to answer any additional questions. Kindly get in touch via LinkedIn or XING.