Kuraray America, Inc.
Post-Doctoral Fellow - Hydrology - GGE (Cluster Hire)
Kuraray America, Inc., Denver, Colorado, United States,
It's fun to work at a place where people truly BELIEVE in what they are doing!We're committed to bringing passion and energy to Colorado School of Mines.Post-Doctoral Fellow - Hydrology - GGE (Cluster Hire)
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 Anderson)PRIMARY RESPONSIBILITIES
Lead independent research activities in collaboration with faculty advisorParticipate in a weekly 1-hour research group meetingMeet weekly with graduate students to provide mentoring and research guidanceAssist in preparing up to 2 proposals each yearLead/submit a minimum of 2 research papers each year, and revise/resubmit others as neededConduct preliminary reviews of student research products: abstracts, posters, proposals, defense presentations, thesis, technical papersAssist graduate students in submitting their work for publication, as appropriatePresent findings at regional and national conferencesAdditional Responsibilities
Performs other duties as assignedAdditional professional development activities as mutually agreed upon by employee and advisorMinimum Qualifications
PhD in civil or environmental engineering, hydrology, watershed/earth science, data science or related fieldExpertise in hydrologic/land modeling, riverine modeling (including stream temperature), geospatial data analysis, machine learning or data scienceComputational experience including programming and Unix/Linux experiencePreferred Qualifications
Expertise in machine learning, spatial data analysis, and hydrologic modeling (particularly related to stream/river temperature)Experience mentoring of graduate or undergraduates preferredStrong hydrologic and/or land modeling, including hydrodynamic ice modeling, as applied to catchments, watersheds, basins, from local to large domainsProgramming (Python, R, Fortran preferred), machine learning or data science, and statistical analysisGIS (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 knowledgeExperience 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 applicationsAbility to mentor undergraduate and graduate studentsExcellent written and oral communication skills, particularly as evidenced by conference presentations or in-prep or published articles in peer-reviewed scientific publicationsInterest in or experience with contributing to diverse, equitable, and inclusive research groupsJob Demands and Working Conditions
Computer use and typing; sitting or standing (as preferred by employee) in office environmentColorado School of Mines is an equal opportunity/affirmative action employer committed to achieving excellence and strength through diversity. Americans with Disabilities Act (ADA) compliance requires Colorado School of Mines to provide reasonable accommodations to qualified individuals with disabilities. Prospective and current employees are invited to discuss accommodations. The School of Mines enforces a drug-free workplace. Successful applicants may be required to submit to drug testing. Applicants must pass a criminal background check in order to be eligible for employment.Salary and Benefits
Annual salary rate of $60,000 - $63,000. Mines is proud to provide exceptional benefits that include pay, health & wellness and work/life balance offerings. Our portfolio of benefits includes medical, dental, vision, disability insurance, flexible spending accounts, life insurance, and retirement savings plans. Additionally, Mines employees are eligible for tuition benefits (for employees and dependents), generous paid holidays and leaves and discount programs. For more information, visit
Mines benefits .How to Apply
Applicants will be asked to complete an online application (personal information, demographic information, references, veteran status) and upload a CV and Cover Letter. References will not be collected or contacted until later in the selection process and the candidate will be informed before that contact is made.We strongly encourage people of color, lesbian, gay, bisexual, transgender, queer and non-binary people, veterans, parents, and individuals with disabilities to apply. Mines welcomes everyone to our team; in your application, please feel free to note which pronouns you use (For example - she/her/hers, he/him/his, they/them/theirs, etc). If you need reasonable accommodation at any point in the application or interview process, please let us know.Contact
Contact
recruitment@mines.edu
with any questions.
#J-18808-Ljbffr
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 Anderson)PRIMARY RESPONSIBILITIES
Lead independent research activities in collaboration with faculty advisorParticipate in a weekly 1-hour research group meetingMeet weekly with graduate students to provide mentoring and research guidanceAssist in preparing up to 2 proposals each yearLead/submit a minimum of 2 research papers each year, and revise/resubmit others as neededConduct preliminary reviews of student research products: abstracts, posters, proposals, defense presentations, thesis, technical papersAssist graduate students in submitting their work for publication, as appropriatePresent findings at regional and national conferencesAdditional Responsibilities
Performs other duties as assignedAdditional professional development activities as mutually agreed upon by employee and advisorMinimum Qualifications
PhD in civil or environmental engineering, hydrology, watershed/earth science, data science or related fieldExpertise in hydrologic/land modeling, riverine modeling (including stream temperature), geospatial data analysis, machine learning or data scienceComputational experience including programming and Unix/Linux experiencePreferred Qualifications
Expertise in machine learning, spatial data analysis, and hydrologic modeling (particularly related to stream/river temperature)Experience mentoring of graduate or undergraduates preferredStrong hydrologic and/or land modeling, including hydrodynamic ice modeling, as applied to catchments, watersheds, basins, from local to large domainsProgramming (Python, R, Fortran preferred), machine learning or data science, and statistical analysisGIS (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 knowledgeExperience 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 applicationsAbility to mentor undergraduate and graduate studentsExcellent written and oral communication skills, particularly as evidenced by conference presentations or in-prep or published articles in peer-reviewed scientific publicationsInterest in or experience with contributing to diverse, equitable, and inclusive research groupsJob Demands and Working Conditions
Computer use and typing; sitting or standing (as preferred by employee) in office environmentColorado School of Mines is an equal opportunity/affirmative action employer committed to achieving excellence and strength through diversity. Americans with Disabilities Act (ADA) compliance requires Colorado School of Mines to provide reasonable accommodations to qualified individuals with disabilities. Prospective and current employees are invited to discuss accommodations. The School of Mines enforces a drug-free workplace. Successful applicants may be required to submit to drug testing. Applicants must pass a criminal background check in order to be eligible for employment.Salary and Benefits
Annual salary rate of $60,000 - $63,000. Mines is proud to provide exceptional benefits that include pay, health & wellness and work/life balance offerings. Our portfolio of benefits includes medical, dental, vision, disability insurance, flexible spending accounts, life insurance, and retirement savings plans. Additionally, Mines employees are eligible for tuition benefits (for employees and dependents), generous paid holidays and leaves and discount programs. For more information, visit
Mines benefits .How to Apply
Applicants will be asked to complete an online application (personal information, demographic information, references, veteran status) and upload a CV and Cover Letter. References will not be collected or contacted until later in the selection process and the candidate will be informed before that contact is made.We strongly encourage people of color, lesbian, gay, bisexual, transgender, queer and non-binary people, veterans, parents, and individuals with disabilities to apply. Mines welcomes everyone to our team; in your application, please feel free to note which pronouns you use (For example - she/her/hers, he/him/his, they/them/theirs, etc). If you need reasonable accommodation at any point in the application or interview process, please let us know.Contact
Contact
recruitment@mines.edu
with any questions.
#J-18808-Ljbffr