Regular biography
Prof. Dr. Benedikt Soja is a Professor at the Department of Civil Engineering (CE) at ETH Zurich. His research interests are not explicitly detailed in the provided information. Prof. Soja's contact details include an email address: sojab@ethz.ch, and his profile page can be accessed at https://baug.ethz.ch/en/department/people/professors/personen-detail.MTg2MDEx.TGlzdC8xOTA4LDE1NjE3MjkzNDM=.html.
Scholar-generated biography
Benedikt Soja is a Professor of Space Geodesy at ETH Zurich, specializing in GNSS, VLBI, Satellite Gravimetry, Atmosphere, and Machine Learning. His research focuses on integrating machine learning techniques with geodetic data analysis to improve Earth orientation parameter predictions, tropospheric delay determination, and GNSS short baseline processing. He has contributed to the development of geophysically informed models for polar motion and length of day variations, emphasizing the role of climate change. His work also includes the application of Kalman filtering in VLBI data analysis and the use of deep learning algorithms for high-resolution total water storage anomalies. Soja's research bridges geodesy and data science, enhancing the accuracy of geodetic time series and atmospheric modeling.