CIRES/NOAA NCEI Paleoclimatology PostDoctoral Associate

The Cooperative Institute for Research in Environmental Sciences (CIRES) is seeking a PostDoctoral Associate.


Date posted

May 18, 2021 12:00 am

Application deadline

June 18, 2021 12:00 am


The Cooperative Institute for Research in Environmental Sciences (CIRES)


  • United States

Job description

CIRES/NOAA NCEI Paleoclimatology PostDoctoral Associate

Requisition Number: 30194
Location: Boulder, Colorado
Employment Type: Research Faculty
Schedule: Full-Time
Date Posted: 05-May-2021

Job Summary

The Cooperative Institute for Research in Environmental Sciences (CIRES) at the University of Colorado Boulder conducts collaborative research with NOAA’s National Centers for Environmental Information (NCEI). CIRES is seeking a PostDoctoral Associate to conduct research on large-scale temporal and spatial patterns of abrupt climate change during the Holocene. The research will involve aggregating paleoclimate proxy records, quantifying uncertainties, and analyzing proxy time series and climate model simulations using novel mathematical techniques. The position duration is one year, with the possibility of extension for up to two additional years based on funding availability and performance. 

The University of Colorado Boulder is committed to building a culturally diverse community of faculty, staff, and students dedicated to contributing to an inclusive campus environment. We are an Equal Opportunity employer, including veterans and individuals with disabilities.
  • Aggregate, interpret and analyze paleoclimate proxy records and their uncertainties.
  • Analyze output from transient climate model simulations.
  • Communicate results via peer-reviewed publications and presentations at scientific meetings.
  • Produce online materials describing past climate change for a general audience.
  • Mentor undergraduate student(s) formatting data sets.


  • Ph.D. in a related field is required, such as geosciences, atmospheric science, oceanography, geography, or environmental sciences.
  • Experience in one or more of the following fields: climate modeling, development and interpretation of paleoclimate proxy records, or time series analysis using mathematical methods.

For more details