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 with a

Master Thesis (m/f/d)
Neural Networking for the Analysis of 5G Communication Tester Logs

Your tasks:
  • Use machine learning tools for long message log analysis, interpretation and classification
  • Develop learning neural networks to classify message logs
  • Outline supervised and unsupervised classifiers
  • Implement the networks in Tensorflow for Python
Your qualifications:
  • Academic studies in a master course, preferably in computer science, electrical engineering, mathematics or comparable field of studies
  • Experience with Python and Tensorflow
  • Knowledge of theoretical background on neural networks
  • Knowledge of recurrent neural networks and autoencoders
  • Ability to work independently in a structured way
  • Good command 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-50676084-002. Our colleague Monika Burgmair is happy to answer any additional questions. Kindly get in touch via LinkedIn or XING.