• University of Colorado - Boulder
  • $85,143.33 -123,650.00/year*
  • Boulder , CO
  • Scientific Research
  • Full-Time
  • 670 Logan Mill Rd


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Requisition Number: 18250 Location: Boulder, Colorado Employment Type: Research Faculty Schedule: Full-Time Close All Job Summary The Cooperative Institute for Research in Environmental Sciences (CIRES) in Boulder, Colorado is seeking a Postdoctoral Scientist to work at the NOAA Earth System Research Laboratory (ESRL) with its Physical Sciences Division (PSD) Atmospheric and Oceanic Processes team. The chosen candidate is expected to work with scientists at both PSD and the National Weather Service?s Climate Prediction Center (CPC) to develop and apply empirical dynamical models that may be used both for operational subseasonal predictions and to investigate questions of subseasonal predictability. A candidate should have strong mathematics and programming abilities, have excellent communication skills and be very comfortable working in a team environment. This position will be located in Boulder, Colorado, with an office at the NOAA Earth System Research Lab (ESRL), Physical Sciences Division (PSD). Who We Are At CIRES, the Cooperative Institute for Research in Environmental Sciences, more than 800 environmental scientists work to understand the dynamic Earth system, including people?s relationship with the planet. CIRES is a partnership of NOAA and the University of Colorado Boulder, and our areas of expertise include weather and climate, changes at the Earth?s poles, air quality and atmospheric chemistry, water resources, and solid Earth sciences. Our vision is to be instrumental in ensuring a sustainable future environment by advancing scientific and societal understanding of the Earth system. Physical Sciences Division What Your Key Responsibilities Will Be Develop PSD empirical dynamical model (?Linear Inverse Model?, or LIM) as a probabilistic and deterministic forecast system focused on continental US surface temperature and precipitation, for subseasonal (?Weeks 3 and 4?) forecast leads. Transition the LIM for operational use at CPC. Redevelop the software as necessary to use CPC data products and coding environment and develop prototype LIM prediction/predictability forecast guidance. Work collaboratively with a research team, including operational partners in the National Weather Service. Explore opportunities to develop and transition additional, complementary empirical dynamical approaches. Effectively convey research results through reports, peer-reviewed journal articles, and presentations. What You Should Know CIRES commits to inclusive excellence by advancing equity and diversity in all that we do. We are an Affirmative Action/Equal Opportunity employer, and particularly encourage applications from members of historically underrepresented racial/ethnic groups, women, individuals with disabilities, veterans, LGBTQ community members, and others who demonstrate the ability to help us achieve our vision of a diverse and inclusive community. CIRES commits to inclusive excellence by advancing equity and diversity in all that we do. We are an Affirmative Action/Equal Opportunity employer, and particularly encourage applications from members of historically underrepresented racial/ethnic groups, women, individuals with disabilities, veterans, LGBTQ community members, and others who demonstrate the ability to help us achieve our vision of a diverse and inclusive community. Applicants must be a U.S. Citizen or Permanent Resident to apply. What We Can Offer We can offer a competitive salary, commensurate with experience, along with a generous benefits package. Benefits The University of Colorado offers excellent benefits , including medical, dental, retirement, paid time off, tuition benefit and ECO Pass. The University of Colorado Boulder is one of the largest employers in Boulder County and offers an inspiring higher education environment. Learn more about the University of Colorado Boulder . Be Statements Be Adaptable. Be Innovative. Be Boulder. What We Require Ph.D. in Atmospheric Science, Applied Math, or a related discipline. Demonstrated experience (1 to 2 years experience obtained through academic training) building and running dynamical and predictive computer models, either physical or empirical. Experience (1 to 2 years experience obtained through academic training) with weather-climate prediction systems, large-scale climate dynamics, dynamical systems theory, and/or statistical and machine learning techniques. Experience (1 to 2 years experience obtained through academic training) developing structured code in commonly used languages, which might include Fortran90, C, Python, R, and/or UNIX scripting. Fluency in writing and speaking English, and exceptional communication skills. U.S. Citizenship or Permanent Residency. Special Instructions To apply, please submit the following materials: Resume or CV. Cover letter addressed to the Search Committee briefly describing your qualifications, professional goals, and specific interest in this position. List of 3 references: the names, professional titles, and contact information of those who are familiar with your qualifications and work history. If you are selected as the finalist, we will contact you through email and request that you submit 1 name and email of a reference who will be asked to submit a letter of recommendation. This information will be kept confidential and viewable only by the search committee. Full consideration will be given to applications received by June 30, 2019 , or until the position is filled. Note: Application materials will not be accepted via email. For consideration, applications must be submitted through CU Boulder Jobs . Posting Contact Name: Matt Newman Posting Contact Email: The University of Colorado is an Equal Opportunity/Affirmative Action employer
Associated topics: atmospheric, environmental, geodynamic, geology, geoscience, gravitational, petrophysicist, planetary, planetary magnetospher, seismicity

* The salary listed in the header is an estimate based on salary data for similar jobs in the same area. Salary or compensation data found in the job description is accurate.

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