Julius Polz, M.Sc.

Julius Polz, M.Sc.


Short CV:

2011-2015 Ludwig-Maximilians Universität München, B.Sc. in Mathematics with a minor in Biology

2015-2018 Ludwig-Maximilians Universität München, M.Sc. in Mathematics

Since 12/2018 PhD student at KIT IMK-IFU

PhD topic:
Bayesian statistics and machine learning for commercial microwave link data processing

Research Fields:

  • Quantitative precipitation estimation with commercial microwave links
  • Environmental data science: Data mining, deep learning, probabilistic modeling


  • Near-Realtime Quantitative Precipitation Estimation and Prediction (RealPEP), DFG FOR 2589 


Polz, J., Chwala, C., Graf, M., and Kunstmann, H.: Rain event detection in commercial microwave link attenuation data using convolutional neural networks, Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2019-412, in review, 2019. 

Graf, M., Chwala, C., Polz, J., and Kunstmann, H.: Rainfall estimation from a German-wide commercial microwave link network: Optimized processing and validation for one year of data, Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2019-423, 2019.

External links: