April 3, 2019
The new emphasis on the societal challenges of climate change on the west coast of North America and the Arctic has led to renewed research into regional modeling of precipitation of all types. Modeling techniques that have been targeted at the CONUS region don’t necessarily produce the best results in the unique landforms and surfaces of the western United States and California in particular. Multi-scale interactions with the upstream Pacific ocean environment also present challenges. We are bringing our best tools for atmospheric modeling and experimental field observations to attack these problems. Our lab focuses on the analysis of numerical weather prediction model output in comparison with unique aircraft observations that sample moisture with high vertical resolution. You will work in a team with expertise in using the Weather Research and Forecasting (WRF) model and expertise in observations from Global Navigation Satellite System (such as GPS) signals that are highly sensitive to atmospheric structure to advance understanding of hydrometeor formation in these unique environments. We are involved in every component of the science from instrumentation and algorithm development, observational studies and field campaigns, and detailed numerical modeling studies. The team collaborates closely with the Center for Western Weather and Water Extremes at SIO in observational and modeling studies, providing additional resources for effective research endeavors.
Skills you bring to the team may be any one of the following:
Experience in numerical weather modeling, for example using the Weather Research and Forecasting Model (WRF) or the Model for Prediction Across Scales (MPAS).
Experience in atmospheric remote sensing from microwave or GNSS signals.
Signal processing, GPU programming, artificial intelligence algorithm as applied to remote sensing signals.
GNSS data analysis including signal tracking, precise positioning, and analysis of phase delays.
Experience in data assimilation techniques for weather modeling.
Experience in microphysical modeling and comparisons with hydrometeor observations.
Experience in interpretation, analysis, and visualization of atmospheric data.
All applications are to be submitted in a single electronic pdf file to firstname.lastname@example.org, following these instructions:
- The pdf file shall be named lastname_phd-institute_postdoc.pdf, for example, smith_cornell_postdoc.pdf
- A current Curriculum Vitae (CV) or resume that includes educational background, work experience, most recent GRE scores, list of publications, contact information for two external referees, including email addresses, and language proficiency in Spanish and French as there are opportunities to participate in international collaborations.
- A one-page summary (abstract) of your doctoral dissertation
- A concise statement describing your research interests (three page maximum).
Applications will be accepted until position is filled. UCSD is an equal opportunity employer, with a strong institutional commitment to excellence through diversity.
We are currently searching for one or more postdoctoral researchers in the areas of atmospheric modeling and observations to develop new techniques for sensing height specific information on precipitation formation. NASA is funding our research group to work with GNSS / GPS radio occultation as a key observational technique with high future potential impact.