[ES_JOBS_NET] Postdoc opportunity: Data Science - University of Michigan, CIGLR (Ann Arbor, MI)

[Mary Ogdahl]

*Job Opening: Data Science Postdoc*


*Cooperative Institute for Great Lakes ResearchSchool for Environment and
SustainabilityUniversity of Michigan*

*Summary*
The Cooperative Institute for Great Lakes Research (CIGLR) is seeking
outstanding candidates for a postdoctoral scholar position in data science.
In collaboration with the National Oceanic and Atmospheric Administration
(NOAA) Great Lakes Environmental Research Laboratory (GLERL) and School for
Environment and Sustainability (SEAS), the successful candidate will lead
research that utilizes data science to advance hydrometeorological
prediction and water management decision support. The postdoctoral fellow
will be part of a large interdisciplinary team at GLERL, CIGLR, and SEAS
that is developing the next generation prediction system for determining
the mean and extreme water levels. This new system will provide the
foundation for defining the risk of coastal inundation impacts across
subseasonal to annual time scales for the Laurentian Great Lakes.
Specifically, the postdoctoral fellow will utilize data-driven approaches
to optimize the design of a next generation water level prediction system
for subseasonal to annual predictions. Approaches will leverage the latest
advancements in hydrometeorological data; modeling of meteorology, climate,
and hydrology; and forecasting to characterize hydrometeorological
variability across space-time scales, identify sources of uncertainty, and
improve predictability of water supply and water levels. Work will be
conducted as part of an interdisciplinary team bringing together expertise
in meteorology and climate, hydrology, water management, and stakeholder
engagement.

*Required Qualifications*

   - PhD in hydroinformatics, statistics, mathematics, water resources
   engineering, or similar field.
   - Demonstrated ability to conduct data-driven hydroclimate research
   using gridded atmospheric, land-surface, and/or hydrological model outputs
   for subseasonal, seasonal, and/or annual prediction time scales. Example
   approaches include use of stochastic methods, statistical modeling, and
   artificial intelligence (e.g., time series analysis, machine learning, deep
   learning, random forest ensemble learning, spatiotemporal data analysis).
   Experience with analyses to evaluate sources of uncertainty and/or
   predictability are particularly preferred.
   - Experience working on gridded outputs from climate, atmospheric, and
   hydrological models, including netCDF, grib2, and HDF5 storage formats.
   - Strong publication record in the relevant field, including at least
   one lead-author publication.
   - Strong communication skills and demonstrated ability to work
   independently in collaboration with an interdisciplinary team.
   - Proficiency with handling various data formats, such as NetCDF, GRIB2,
   ASCII, and shapefiles. This includes visualization, geospatial data
   analyses, and dealing with map projections using existing libraries for
   programming languages such as Python, R, and Matlab.
   - Proficiency with working on a supercomputer or a cluster computing
   environment. This includes shell scripting, batch job submissions, and data
   transfer.

*Desired Qualifications*

   - Exposure to atmospheric and hydrological science, such as research
   that characterizes hydroclimatic variability across space-time scales.
   - Understanding of global circulations, teleconnection patterns, and
   their impacts on regional climate (e.g., precipitation patterns).
   - Experience using Great Lakes regional hydrological/climate datasets
   (e.g., Regional Deterministic Reanalysis System, the Canadian Precipitation
   Analysis system).

*For more information and to apply*
Visit https://careers.umich.edu/job_detail/227009/data-science-postdoc-ciglr

The application deadline is April 30, 2023.
~~~~~~~~~~~~~~~~~

Mary E. Ogdahl
*Program Manager*
Cooperative Institute for Great Lakes Research
School for Environment and Sustainability (SEAS), University of Michigan
@ NOAA Great Lakes Environmental Research Laboratory (GLERL)
4840 South State Road | Ann Arbor, MI 48108
734-741-2276 (NOAA GLERL)
616-502-3419 (Cell)
ogdahlm at umich.edu
ciglr.seas.umich.edu
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