Colorado State University 18-127 Statistical Postprocessing Meteorologist/Developer in Fort Collins, Colorado
Posting Detail Information
Working Title 18-127 Statistical Postprocessing Meteorologist/Developer
Research Professional Position Yes
Posting Number 201800701AP
Position Type Admin Professional/ Research Professional
Number of Vacancies 1
Work Hours/Week 40
Proposed Annual Salary Range Salary is commensurate with experience and qualifications.
Desired Start Date 09/30/2018
Position End Date (if temporary)
Open Posting Date
Open Until Filled Yes
To ensure full consideration, applications must be received by 11:59pm (MT) on 09/09/2018
Description of Work Unit
The Cooperative Institute for Research in the Atmosphere (CIRA) at Colorado State University seeks to fill a full-time professional scientific position for its collaborative research and development as a Cooperative Institute with the National Oceanic and Atmospheric Administration (NOAA) National Weather Service (NWS) Meteorological Development Laboratory (MDL) Decision Support Branch in Silver Spring, MD. This position is located in a federal facility in Silver Spring, MD and requires the ability to pass a National Agency Check with Inquiries (NACI, federal background check) for building access. (Office will be in Silver Spring, MD; however, the option exists to work remotely from your home/office with periodic coordination meetings in Silver Spring.)
Background: CIRA and the NWS/MDL have engaged in a number of successful collaborations in a wide variety of scientific and software endeavors. The Weather Information Statistical Post-processing System (WISPS) has provided MDL and CIRA an opportunity to work together on MDL’s primary competency – statistical postprocessing of the output from Numerical Weather Prediction (NWP) models.
It is difficult to overestimate the importance of statistical postprocessing and MDL’s signature technique, Model Output Statistics (MOS), to modern meteorology. The most recent version of this software, MOS- 2000, is an impressive software system by many benchmarks. Its limitations, however, have become problematic, and the NWS needs to invest in a replacement system. The WISPS Project is developing the framework that will take the inaugural version of WISPS to Technical Readiness Level 9, such as operational implementation on NOAA’s Weather and Climate Operational Supercomputing System, (WCOSS) for some portion of the NWS’s statistical postprocessing mission. The project will emphasize suitability for supercomputer operations, multiple statistical postprocessing methods, data formats that are self-describing and embrace widely-accepted standards, and software systems that are flexible, extendible, and shareable.
The individual in this position will provide expertise in a wide range of technical areas, including but not limited to: software design and development; parallel computing; data modeling; processing output fields from NWP; mapping, map projections, and other geospatial topics. This position will report to the Senior Research Associate who oversees collaboration efforts with MDL.
Required Job Qualifications
-This position is located in a federal facility in Silver Spring, MD and requires the ability to pass a National Agency Check with Inquiries (NACI, federal background check) for building access. -Bachelor’s degree in Atmospheric Sciences, Meteorology, or related physical science with 5 years of relevant experience or -Master’s degree in Atmospheric Sciences, Meteorology, or related physical science with 2 years of relevant experience; -Demonstrated experience working with -Model Output Statistics technique, or other statistical techniques used in objective interpretation of numerical weather prediction (NWP) output; -Knowledge of and/or experience working with and leading a scientific software development team; -Demonstrated experience in the design and development of scientific computer programs; -Knowledge, skill, and/or experience in data modeling and the management of large scientific datasets.
Preferred Job Qualifications
-Experience post-processing NWP output; -Experience coordinating projects or research between multiple groups or agencies; -Experience with Linux/Unix systems; -Knowledge, skill, and/or experience in standard meteorological data formats; -Knowledge, skill, and/or experience in community source software development; -Knowledge, skill, and/or experience in Fortran, C, C++, and other programming languages that are commonly used in parallel computing and operational supercomputing systems; -Ability to handle multiple tasks and meet project deadlines, communicate effectively both verbally and in writing, and a willingness to learn new skills for professional growth within the position; -Experience coordinating projects or research between multiple groups or agencies; -Knowledge of operational meteorology, NWS operations, and NWS users and partners.
Reflecting departmental and institutional values, candidates are expected to have the ability to advance the Department’s commitment to diversity and inclusion.
Job Duty Category Software Development
-Provide leadership, direction, and expertise to prototype data storage technologies and data modeling strategies that will form the foundation of WISPS; -Provide leadership, direction, and technical expertise in aligning WISPS data formats with widely-accepted and emerging standards. -Develop the software to support the operational needs of the NWS; -Mature and migrate the initial WISPS capability into NWS operations.
Percentage Of Time 70
Job Duty Category Collaborative Research
-Provide leadership, direction, and technical expertise in identifying and documenting WISPS requirements; -Investigate useful pre-existing technologies (e.g., NetCDF, HDF5, GitHub, NWS VLab, software libraries) that will support the development of WISPS;
Percentage Of Time 20
Job Duty Category Documentation and Reporting
-Prepare software documentation in collaboration with team members. -Prepare status reports as required by the project sponsor and CIRA. -Prepare and deliver technical talks and presentations as requested.
Percentage Of Time 10
Special Instructions to Applicants
References will not be contacted without prior notification of candidates.
Please utilize the cover letter to address the required and preferred qualifications as relate to your professional experience.
Conditions of Employment Pre-employment Criminal Background Check (required for new hires)
Search Contact Jennifer.Raab@colostate.edu
Colorado State University is committed to providing an environment that is free from discrimination and harassment based on race, age, creed, color, religion, national origin or ancestry, sex, gender, disability, veteran status, genetic information, sexual orientation, gender identity or expression, or pregnancy and will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Colorado State University is an equal opportunity/equal access/affirmative action employer fully committed to achieving a diverse workforce and complies with all Federal and Colorado State laws, regulations, and executive orders regarding non-discrimination and affirmative action. The Office of Equal Opportunity is located in 101 Student Services.
The Title IX Coordinator is the Executive Director of the Office of Support and Safety Assessment, 123 Student Services Building, Fort Collins, CO 80523 -2026, (970) 491-7407.
The Section 504 and ADA Coordinator is the Associate Vice President for Human Capital, Office of Equal Opportunity, 101 Student Services Building, Fort Collins, CO 80523-0160, (970) 491-5836.
Background Check Policy Statement
Colorado State University (CSU) strives to provide a safe study, work, and living environment for its faculty, staff, volunteers and students. To support this environment and comply with applicable laws and regulations, CSU conducts background checks. The type of background check conducted varies by position and can include, but is not limited to, criminal (felony and misdemeanor) history, sex offender registry, motor vehicle history, financial history, and/or education verification. Background checks will be conducted when required by law or contract and when, in the discretion of the university, it is reasonable and prudent to do so.
Minimum Requested 3
Maximum Requested 3
Required fields are indicated with an asterisk (*).
Resume or CV