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CIRES​/Environmental Data Science Innovation and Impact Lab; ESIIL) Post-Doctoral Associate

Job in Boulder, Boulder County, Colorado, 80301, USA
Listing for: University of Colorado Boulder
Full Time position Listed on 2026-11-08
Job specializations:
  • IT/Tech
    Data Scientist, Data Analyst, Data Science Manager
  • Science
    Data Scientist
Salary/Wage Range or Industry Benchmark: 65000 - 70000 USD Yearly USD 65000.00 70000.00 YEAR

Job Description & How to Apply Below

Position: CIRES/Environmental Data Science Innovation and Impact Lab (ESIIL) Post-Doctoral Associate
Job Summary

The Environmental Data Science Innovation and Impact Lab (ESIIL) within CIRES at the University of Colorado Boulder welcomes applications for Postdoctoral Associates who are working in thefield of environmental data science (EDS) to address pressing environmental challenges. ESIIL’s vision is grounded in the conviction that innovation and breakthroughs in EDS will beprecipitated by a collaborative research community empowered byopen data and infrastructure, cross-sector, and community partnerships (e.g., academic, non-profit, government, industry),team science, and engaged learning.

ESIIL Postdoctoral Associates are expected to produce innovative and/or applied environmentalbiology research to thrive in the rapidly evolving field ofEDS. CU is an Equal Opportunity Employer and complies with all applicable federal, state, and local laws governing nondiscrimination in employment. We are committed to creating aworkplace where all individuals are treated with respect and dignity, and we encourage individuals from all backgrounds toapply, including protected veterans and individuals with disabilities.

Who

We Are

At CIRES , more than 900 environmental science professionals work to understand the dynamic Earth system,including people’s relationship with the planet. CIRES has partnered with NOAA since 1967, and our areas of expertise include weather and climate, changes at Earth’s poles, air quality and atmospheric chemistry, water resources, solid Earth sciences, andmore. Our vision is to be instrumental in ensuring a sustainable future environment by advancing scientific and societal understanding of the Earth system.

The Environmental Data Science Innovation &Impact Lab (ESIIL) is an NSF-funded data synthesis center ledby the University of Colorado Boulder in collaboration with NSF’sCyVerse at the University of Arizona and the University of Oslo.

ESIIL’s mission is to empower a broad community to accelerate open Environmental Data Science. ESIIL is part of CIRES and enables aglobal community of environmental data scientists to demonstrate the wealth of environmental data and emerging analytics to developscience-based solutions to solve pressing challenges in environmental sciences. ESIIL’s research community generatesdiscoveries and novel approaches through
1) transformative team science,
2) innovative tools and collaborative cyberinfrastructure,3) data-science education and training, and
4) buildingcollaborative communities. These activities advance the frontier of environmental data science, a rapidly evolving field bridgingcomputational, biological, environmental, and social sciences.

What Your

Key Responsibilities Will Be
  • (80%) Develop and implement an environmental data science project that uses open data, tools, and cyberinfrastructure to address frontier research questions in environmental biology. Examples of data-driven projects may include: cross-scale orcross-site data harmonization and analysis to explore ecosystempatterns, artificial intelligence and machine learning applications in ecology, open science ethics and data sovereignty for environmental data, data-intensive exploration of evolutionary processes, data intense translation to resilience technologies,or other topical area in environmental biology that crosses thedata, natural, and social sciences.
    • Apply open or available spatial and temporal data in creativeways to develop a data-driven research project. Examples of environmental data sources include remote sensing, observatories,biorepositories, citizen science, field-based collections, modeledand synthetic data, genetic data, social data, or other. Sovereignand protected data shall be treated with special considerations that follow the CARE data principles.
    • Leverage cloud, or other…

Position Requirements

10+ Years work experience
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