17-120: Postdoctoral Fellowship in Theoretical and Applied Data Assimilation

Posting Details

Posting Detail Information

Working Title 17-120: Postdoctoral Fellowship in Theoretical and Applied Data Assimilation
Research Professional Position Yes
Posting Number 201700956AP
Position Type Admin Professional/ Research Professional
Number of Vacancies
Work Hours/Week 40
Proposed Annual Salary Range $51,000
Desired Start Date 02/05/2018
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 01/03/2018
Description of Work Unit

The Cooperative Institute for Research in the Atmosphere (CIRA) at Colorado State University (CSU) is a multi-million dollar research organization located on CSU’s Foothills Campus in Fort Collins, Colorado. CIRA is a cooperative institute (CI) that is also a research department within CSU’s College of Engineering, in partnership with the Department of Atmospheric Science. Its vision is to conduct interdisciplinary research in the atmospheric sciences by entraining skills beyond the meteorological disciplines, exploiting advances in engineering and computer science, facilitating transitional activity between pure and applied research, leveraging both national and international resources and partnerships, and assisting the National Oceanic and Atmospheric Administration (NOAA), CSU, the State of Colorado, and the Nation through the application of our research to areas of societal benefit. Expanding on this Vision, our Mission is to serve as a nexus for multi-disciplinary cooperation among CI and NOAA research scientists, University faculty, staff and students in the context of NOAA-specified research theme areas in satellite applications for weather/climate forecasting. Important bridging elements of the CI include the communication of research findings to the international scientific community, transition of applications and capabilities to NOAA operational users, education and training programs for operational user proficiency, outreach programs to K-12 education and the general public for environmental literacy, and understanding and quantifying the societal impacts of NOAA research.

Position Summary

The Cooperative Institute for Research in the Atmosphere (CIRA) at Colorado State University seeks to fill a postdoctoral fellowship in February 2018 as part of a National Science Foundation (NSF) award to train a new scientist in data assimilation. Located at CIRA in Fort Collins, Colorado, this fellowship is intended for persons who have completed their Ph.D.’s within the last 3 years and may last up to 3 years contingent upon NSF funding availability. The individual in this position will be part of the data assimilation group and will work on developing links between non-Gaussian distributions and different atmospheric scale dynamics, converting the hybrid version of WRF-GSI to have a non-Gaussian component, as well as developing and implementing different probability density functions detection algorithms.

Required Job Qualifications

• Pursuant to the National Science Foundation program guidelines for this grant, this position requires a PhD in Physics, Mathematics, Statistics, Remote Sensing, Meteorology, or related physical science field awarded between January 2015 – January 2018;
• experience programming in Fortran90 or higher and Linux scripting;
• higher education in fundamental mathematics and/or physics;
• ability to travel to domestic and international conferences.

Preferred Job Qualifications

• solid quantitative educational background in fundamental Mathematics, Physics, and/or Statistics;
• experience working with data assimilation systems;
• experience working with variational data assimilation;
• knowledge of WRF-GSI;
• knowledge of Bayesian Theory;
• knowledge of the mathematical field of Numerical Analysis, i.e. preconditioning, numerical linear algebra, NSDE etc;
• knowledge of mesoscale and/or synoptic meteorology;
• stochastical modeling experience;
• machine learning experience;
• proficiency in MATLAB or equivalent analysis and display software.

Diversity Statement

Reflecting departmental and institutional values, candidates are expected to have the ability to advance the Department’s commitment to diversity and inclusion.

Essential Duties

Job Duty Category Non-Gaussian Dynamical Linkages
Duty/Responsibility

• develop mathematical and/or stochastical model to link probability density functions to different atmospheric dynamics;
• implement and test the new model with toy problems;
• implement and test the new model with the WRF test cases.

Percentage Of Time 40
Job Duty Category Non-Gaussian Hybrid WRF-GSI
Duty/Responsibility

• convert the Weather, Research, and Forecasting Gridpoint Statistical Interpolation (GSI) and the hybrid system to allow for a lognormal component (e.g., for the moisture variable) as well as a version with the logarithmic transform approach;
• test and compare the different versions of the WRF-GSI against different distributed error scenarios;
• conduct WRF-GSI experiments to assess the impacts on short and medium range forecasts from the different configurations of the hybrid WRF-GSI system.

Percentage Of Time 40
Job Duty Category Dissemination of Research Results
Duty/Responsibility

• prepare manuscripts for submission to peer review journals and edit through the review process;
• prepare and present conference abstracts, posters, and/or presentations;
• travel to domestic and international conferences.

Percentage Of Time 20

Application Details

Special Instructions to Applicants

References may be contacted immediately and without further notification to the candidate.

NOTE: In your cover letter, please specifically address the required and preferred qualifications of this position. A cover letter that fails to address the required and preferred qualifications of this position may not be further considered after review by the search committee.

Conditions of Employment Pre-employment Criminal Background Check (required for new hires)
Search Contact linn.barrett@colostate.edu
EEO Statement

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.

References Requested

References Requested

Minimum Requested 3
Maximum Requested 3

Supplemental Questions

Required fields are indicated with an asterisk (*).

  1. * Did you earn your PhD between January 2015 and January 2018?
    • Yes
    • No

Applicant Documents

Required Documents
  1. Resume
  2. Cover Letter
Optional Documents