Benedikt Soja
Assistant Professor (Tenure Track)
Leads the Space Geodesy group, applying machine learning to geodetic time series for GNSS, Earth rotation and climate-related problems.
Benedikt Soja's lab at ETH Zurich works on physics, climate & scientific computing and time series, anomaly & spatio-temporal data. 59 papers since 2023, 1 at top venues, mostly TGRS and PNAS. 9 PhD students. 4 alumni.
At a glance
- papers, 2023–2026
- 15/ year
- at T1 venues
- 2%
- PhD students
- 9
- MS students
- 0
- alumni listed
- 4
Papers by yearfrom the lab homepage, 2023–2026
- 2 papers2026 · T1 0 · collecting
- 18 papers2025 · T1 0
- 26 papers2024 · T1 1
- 13 papers2023 · T1 0
T1 venuesOtherVenues: TGRS, PNAS
Research focuspaper titles that use each topic's words
- Time series, anomaly & spatio-temporal data12 papers
- Physics, climate & scientific computing4 papers
- geomatic0 papers
- geomatic engineering0 papers
- applying machine0 papers
Paper list
From the lab homepage.
20262 papers
- Journal of Geophysical Research: Solid EarthClimate‐Induced Length of Day Variations Since the Late Pliocene (opens in a new tab)
- Surveys in GeophysicsUncertainty Quantification of Satellite-Based Essential Climate Variables Derived from Deep Learning (opens in a new tab)
202518 papers
- Astronomy & AstrophysicsA celestial reference frame derived from observations with the Very Long Baseline Interferometry Global Observing System (opens in a new tab)
- Space WeatherA Comparative Study of VTEC Estimates Derived From S/X VLBI and VGOS Observations (opens in a new tab)
- Atmospheric Measurement TechniquesA feasibility study to reconstruct atmospheric rivers using space- and ground-based GNSS observations (opens in a new tab)
- Journal of Geophysical Research: Machine Learning and ComputationA Review of Machine Learning‐Based Ionospheric Spatial and Temporal Modeling (opens in a new tab)
- Ocean ScienceAssessment of ocean bottom pressure variations in CMIP6 HighResMIP simulations (opens in a new tab)
- TGRSAssimilating Ground-Based and High-Dynamic Airborne GNSS Zenith Total Delays Into Numerical Weather Predictions (opens in a new tab)
- Geophysical Research LettersClimate-Induced Polar Motion: 1900–2100 (opens in a new tab)
- Journal of Geophysical Research: Machine Learning and ComputationDeepRec: Global Terrestrial Water Storage Reconstruction Since 1941 Using Spatiotemporal‐Aware Deep Learning Model (opens in a new tab)
- Journal of GeodesyDeriving a global troposphere model for space geodetic simulations based on an ML ensemble featuring uncertainty quantification (opens in a new tab)
- Journal of GeodesyDownscaling GRACE-derived ocean bottom pressure anomalies using self-supervised data fusion (opens in a new tab)
- Space WeatherEnhanced Global Ionospheric Mapping Using Deep Ensemble Neural Networks With Uncertainty Quantification (opens in a new tab)
- GPS SolutionsEnhanced real-time global ionospheric maps using machine learning (opens in a new tab)
202426 papers
- Advances in Space ResearchA Cloud-native Approach for Processing of Crowdsourced GNSS Observations and Machine Learning at Scale: A Case Study from the CAMALIOT Project (opens in a new tab)
- TGRSA New Deep-Learning-Assisted Global Water Vapor Stratification Model for GNSS Meteorology: Validations and Applications (opens in a new tab)
- Journal of GeodesyAssessing tropospheric turbulence impact on VGOS telescope placement in the Indian subcontinent for the estimation of earth orientation parameters (opens in a new tab)
- Journal of GeodesyAssessment of length-of-day and universal time predictions based on the results of the Second Earth Orientation Parameters Prediction Comparison Campaign (opens in a new tab)
- Earth, Planets and SpaceBaHaMAs: a method for uncertainty quantification in geodetic time series and its application in short-term prediction of length of day (opens in a new tab)
- Nature GeoscienceContributions of core, mantle and climatological processes to Earth’s polar motion (opens in a new tab)
- Radio ScienceCross-Polarization Gain Calibration of Linearly Polarized VLBI Antennas by Observations of 4C 39.25 (opens in a new tab)
- Geophysical Journal InternationalDeep ensemble geophysics-informed neural networks for the prediction of celestial pole offsets (opens in a new tab)
- Atmospheric Measurement TechniquesDetermination of high-precision tropospheric delays using crowdsourced smartphone GNSS data (opens in a new tab)
- Earth, Planets and SpaceFindings on celestial pole offsets predictions in the second earth orientation parameters prediction comparison campaign (2nd EOP PCC) (opens in a new tab)
- TGRSForecasting of Tropospheric Delay Using AI Foundation Models in Support of Microwave Remote Sensing (opens in a new tab)
- Nature WaterGlobal high-resolution total water storage anomalies from self-supervised data assimilation using deep learning algorithms (opens in a new tab)
202313 papers
- Remote SensingAnalyzing the Ionospheric Irregularities Caused by the September 2017 Geomagnetic Storm Using Ground-Based GNSS, Swarm, and FORMOSAT-3/COSMIC Data near the Equatorial Ionization Anomaly in East Africa (opens in a new tab)
- Journal of GeodesyBridging astronomical, astrometric and geodetic scheduling for VGOS (opens in a new tab)
- International Journal of Digital EarthCollecting volunteered geographic information from the Global Navigation Satellite System (GNSS): experiences from the CAMALIOT project (opens in a new tab)
- Geophysical Research LettersDetecting Signatures of Convective Storm Events in GNSS-SNR: Two Case Studies From Summer 2021 in Switzerland (opens in a new tab)
- Measurement Science and TechnologyEstimation of tropospheric parameters with GNSS smartphones in a differential approach (opens in a new tab)
- Journal of Geophysical Research: Solid EarthGeophysically Informed Machine Learning for Improving Rapid Estimation and Short‐Term Prediction of Earth Orientation Parameters (opens in a new tab)
- Acta AstronauticaHigh-resolution tropospheric refractivity fields by combining machine learning and collocation methods to correct earth observation data (opens in a new tab)
- Remote SensingModeling the Differences between Ultra-Rapid and Final Orbit Products of GPS Satellites Using Machine-Learning Approaches (opens in a new tab)
- MeasurementMPG-NET: A low-cost, multi-purpose GNSS co-location station network for environmental monitoring (opens in a new tab)
- Publications of the Astronomical Society of AustraliaOn More than Two Decades of Celestial Reference Frame VLBI Observations in the Deep South: IVS-CRDS (1995 - 2021) (opens in a new tab)
- Journal of GeodesyOn the importance of accurate pole and station coordinates for VLBI Intensive baselines (opens in a new tab)
- Journal of GeodesyUltra-short-term prediction of LOD using LSTM neural networks (opens in a new tab)
Where alumni went4 listed
Apply to ETH ZurichRolling
Not announced yet
Computer Science Doctorate (D-INFK)
- Round
- Rolling (no deadline)
- Opens
- —
- GRE
- See program page
- English
- Proficiency in written and spoken English
- Fee
- See program page
Confirmed on the program page.
Similar labsnearest by research summary
- USUW
Shwetak Patel
- Medical imaging & healthcare AI
- USUCSD
Duncan Watson-Parris
- Physics, climate & scientific computing
- USGeorgia Tech
Dimitrios Psaltis
- Physics, climate & scientific computing
- USUT Austin
Hao Zhu
- Physics, climate & scientific computing
- GBCambridge
Emily Shuckburgh
- Physics, climate & scientific computing
- USGeorgia Tech
Xiuwei Zhang
- Genomics & computational biology
Your notes
Save this lab to keep notes.
Data
Checked against the lab homepage.
- Collected
- Verified
- Papers
- The lab homepage
- Members
- Lab homepage
- Alumni
- Lab homepage
Tiers are venue classifications, not lab rankings.