Postdoctoral Fellow - Cluster Hire
Postdoctoral Fellow - Cluster Hire
Colorado School of Mines
Golden, CO
Closing Date:
Until Filled
Web Address:
https:
//mines.wd1.myworkdayjobs.com/en-US/Mines_Careers/job/Post-Doctoral-Fellow---Hydrology---GGE--Cluster-Hire-_JR100884
Description
The Colorado School of Mines seeks three to five post-doctoral researchers to support new projects connected with the NOAA- and USGS-sponsored Cooperative Institute for Research to Operations in Hydrology (CIROH). The positions are offered through the Dept. of Civil and Environmental Engineering, Geology and Geological Engineering, and the Hydrological Science and Engineering program. The post-docs will collaborate in a team environment with other CIROH-funded researchers and faculty at Mines, and interact with CIROH team partners at other US and Canadian institutions. The available positions span a number of objectives related to improving different aspects of US 'Next Generation' operational hydrologic modeling and prediction capabilities. Project focus areas are listed below. Candidates should have expertise in one or more of the following areas, and will be matched with projects based on their experience and interests:
hydrological modeling and associated datasets (e.g., Earth Observations, meteorological and climate analyses and forecasts), machine learning, uncertainty analysis, geospatial data analysis and statistics, hydrodynamic ice modeling (e.g., SCHISM, FVCOM), and/or hydrologic prediction techniques. For most projects, funding is available for up to 2 years (unless noted below), with the second year being conditional on first year performance. In your cover letter, please note which projects below are of most interest, and describe any project-specific qualifications. Project Focus Areas:
One postdoc will conduct uncertainty analysis of a new physically-based hydrologic model developed by the USGS in watersheds in the Upper Colorado River Basin, with particular attention to snow and soil moisture data. Mines lead:
Adrienne Marshall. Start date approximately January 2024, 13 months of funding available. An overarching effort for two to three postdocs is the development and application of a hydro-meteorological prediction testbed supporting the modeling framework (Nextgen) that is being developed for the US National Water Model (NWM), along with related technical capabilities and extensions in data assimilation (particularly using snow datasets), ensemble streamflow prediction, and heterogeneous land/hydrology modeling (including machine learning based models). (Mines lead:
Andy Wood) One post-doc will focus on hydrodynamic-ice modeling, working with an interdisciplinary team across several universities to improve hydrologic forecast capabilities in cold regions, such as ice formation and flooding in the Yukon River (Mines lead:
Eric J. Anderson)
Qualifications
Minimum Qualifications PhD in civil or environmental engineering, hydrology, watershed/earth science, data science or related field Expertise in hydrologic/land modeling, riverine modeling (including stream temperature), geospatial data analysis, machine learning or data science Computational experience including programming and Unix/Linux experience Preferred Qualifications Expertise in machine learning, spatial data analysis, and hydrologic modeling (particularly related to stream/river temperature) Experience mentoring of graduate or undergraduates preferred Strong hydrologic and/or land modeling, including hydrodynamic ice modeling, as applied to catchments, watersheds, basins, from local to large domains Programming (Python, R, Fortran preferred), machine learning or data science, and statistical analysis GIS (open source preferred), Google Earth Engine (GEE), and/or other spatial data tools, and website development experience is a plus (but not required) Hydrometeorological forecasting knowledge Experience with on Linux/Unix platforms, High Performance Computing, and modern code practice, including the use of online code repositories (e.g., Github) Remote sensing and satellite dataset applications Ability to mentor undergraduate and graduate students Excellent written and oral communication skills, particularly as evidenced by conference presentations or in-prep or published articles in peer-reviewed scientific publications Interest in or experience with contributing to diverse, equitable, and inclusive research groups
How to Apply
https:
//mines.wd1.myworkdayjobs.com/en-US/Mines_Careers/job/Post-Doctoral-Fellow---Hydrology---GGE--Cluster-Hire-_JR100884
Contact
Colorado School of Mines
email protected Estimated Salary: $20 to $28 per hour based on qualifications.
Colorado School of Mines
Golden, CO
Closing Date:
Until Filled
Web Address:
https:
//mines.wd1.myworkdayjobs.com/en-US/Mines_Careers/job/Post-Doctoral-Fellow---Hydrology---GGE--Cluster-Hire-_JR100884
Description
The Colorado School of Mines seeks three to five post-doctoral researchers to support new projects connected with the NOAA- and USGS-sponsored Cooperative Institute for Research to Operations in Hydrology (CIROH). The positions are offered through the Dept. of Civil and Environmental Engineering, Geology and Geological Engineering, and the Hydrological Science and Engineering program. The post-docs will collaborate in a team environment with other CIROH-funded researchers and faculty at Mines, and interact with CIROH team partners at other US and Canadian institutions. The available positions span a number of objectives related to improving different aspects of US 'Next Generation' operational hydrologic modeling and prediction capabilities. Project focus areas are listed below. Candidates should have expertise in one or more of the following areas, and will be matched with projects based on their experience and interests:
hydrological modeling and associated datasets (e.g., Earth Observations, meteorological and climate analyses and forecasts), machine learning, uncertainty analysis, geospatial data analysis and statistics, hydrodynamic ice modeling (e.g., SCHISM, FVCOM), and/or hydrologic prediction techniques. For most projects, funding is available for up to 2 years (unless noted below), with the second year being conditional on first year performance. In your cover letter, please note which projects below are of most interest, and describe any project-specific qualifications. Project Focus Areas:
One postdoc will conduct uncertainty analysis of a new physically-based hydrologic model developed by the USGS in watersheds in the Upper Colorado River Basin, with particular attention to snow and soil moisture data. Mines lead:
Adrienne Marshall. Start date approximately January 2024, 13 months of funding available. An overarching effort for two to three postdocs is the development and application of a hydro-meteorological prediction testbed supporting the modeling framework (Nextgen) that is being developed for the US National Water Model (NWM), along with related technical capabilities and extensions in data assimilation (particularly using snow datasets), ensemble streamflow prediction, and heterogeneous land/hydrology modeling (including machine learning based models). (Mines lead:
Andy Wood) One post-doc will focus on hydrodynamic-ice modeling, working with an interdisciplinary team across several universities to improve hydrologic forecast capabilities in cold regions, such as ice formation and flooding in the Yukon River (Mines lead:
Eric J. Anderson)
Qualifications
Minimum Qualifications PhD in civil or environmental engineering, hydrology, watershed/earth science, data science or related field Expertise in hydrologic/land modeling, riverine modeling (including stream temperature), geospatial data analysis, machine learning or data science Computational experience including programming and Unix/Linux experience Preferred Qualifications Expertise in machine learning, spatial data analysis, and hydrologic modeling (particularly related to stream/river temperature) Experience mentoring of graduate or undergraduates preferred Strong hydrologic and/or land modeling, including hydrodynamic ice modeling, as applied to catchments, watersheds, basins, from local to large domains Programming (Python, R, Fortran preferred), machine learning or data science, and statistical analysis GIS (open source preferred), Google Earth Engine (GEE), and/or other spatial data tools, and website development experience is a plus (but not required) Hydrometeorological forecasting knowledge Experience with on Linux/Unix platforms, High Performance Computing, and modern code practice, including the use of online code repositories (e.g., Github) Remote sensing and satellite dataset applications Ability to mentor undergraduate and graduate students Excellent written and oral communication skills, particularly as evidenced by conference presentations or in-prep or published articles in peer-reviewed scientific publications Interest in or experience with contributing to diverse, equitable, and inclusive research groups
How to Apply
https:
//mines.wd1.myworkdayjobs.com/en-US/Mines_Careers/job/Post-Doctoral-Fellow---Hydrology---GGE--Cluster-Hire-_JR100884
Contact
Colorado School of Mines
email protected Estimated Salary: $20 to $28 per hour based on qualifications.
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