Motivated and hardworking individuals, who are seeking graduate studies in HydSense Laboratory, are encouraged to contact Ardeshir Ebtehaj (e-mail: ebtehaj@umn.edu).

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Hydsens has an opening for a postdoctoral research associate with background in data assimilation and land-atmosphere remote sensing. Previous research experience with Weather Research and Forecasting  (WRF) model and microwave retrievals of precipitation and soil moisture is required. The postdoctoral research associate will be in charge of (1) overseeing the research by the graduate students of the group under the supervision of Dr. Ebtehaj and (2) advancing the science of microwave retrievals and forecasting of snowfall using NASA's satellite data. 

Current Projects:

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1. Reducing Uncertainties in GPM Snowfall Retrievals: Applications for Improved Prediction of Snowstorms, National Aeronautics and Space Administration (NASA), 2018-2021(PI).

2. Robust Variational Data Assimilation under Incomplete and Inaccurate Data: Extremes, Biases, and Observability in Joint Assimilation of Satellite Precipitation and Soil Moisture, National Aeronautics and Space Administration (NASA), 2018-2021(PI).

3. Soil Moisture Super-resolution and Regularized Data Assimilation: Algorithms and Hydro-agronomic Application in SMAP Era, National Aeronautics and Space Administration (NASA), 2016-2019 (Co-PI). 

4. Advanced Inversion Algorithms for GPM Passive Microwave Retrievals and Multi-sensor Merging, National Aeronautics and Space Administration (NASA), 2016-2019 (Co-PI).