[ES_JOBS_NET] CIRES/Environmental Data Science Innovation and Impact Lab (ESIIL) Post-Doctoral Research Scholar

Wed Aug 27 10:54:38 MDT 2025

https://jobs.colorado.edu/jobs/JobDetail/CIRES-Environmental-Data-Science-Innovation-and-Impact-Lab-ESIIL-Post-Doctoral-Research-Scholar/66761
 Job Summary

 Who We Are
Who We Are

At CIRES <https://cires.colorado.edu/>, 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, and more. 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)
<https://nam10.safelinks.protection.outlook.com/?url=https%3A%2F%2Fesiil.org%2F&data=05%7C02%7CYasmine.Ortuno%40Colorado.EDU%7C30326c6f4229496e753108dde0ede484%7C3ded8b1b070d462982e4c0b019f46057%7C1%7C0%7C638914034525760653%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&sdata=wHOZfJ3oUrqR3vUyFBidhYBXHQ44JDdCoCjTWKzEfZA%3D&reserved=0>
is
an NSF-funded data synthesis center led by the University of Colorado
Boulder in collaboration with NSF’s CyVerse 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 a global community of environmental data scientists to leverage the
wealth of environmental data and emerging analytics to develop
science-based solutions to solve pressing challenges in environmental
sciences. ESIIL’s research community generates discoveries and novel
approaches through 1) transformative team science, 2) innovative tools and
collaborative cyberinfrastructure, 3) data-science education and training,
and 4) building collaborative communities. These activities advance the
frontier of environmental data science, a rapidly evolving discipline
bridging the computational, biological, environmental, and social sciences.
 What Your Key Responsibilities Will Be
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 or cross-site data harmonization and
   analysis to explore ecosystem patterns, artificial intelligence and machine
   learning applications in ecology, open science ethics and data sovereignty
   for environmental data, data-intensive exploration of evolutionary
   processes, data intensive translation to resilience technologies, or other
   topical area in environmental biology that crosses the data, natural, and
   social sciences.
      - Use open or available spatial and temporal data in creative ways to
      develop a data-driven research project. Examples of environmental data
      sources include remote sensing, observatories, biorepositories, citizen
      science, field-based collections, modeled and synthetic data,
genetic data,
      social data, or other. Sovereign and protected data shall be treated with
      special considerations that follow the CARE data principles.
      - Leverage cloud, or other high-performance computing, resources to
      harmonize and analyze big, complex environmental data, and/or
develop open
      AI-based pipelines.
      - Contribute to the open, reproducible science and education
      objectives of ESIIL, which include creating and publishing
well-documented
      datasets and codes, FAIR-compliant code workflows, or other outputs that
      will serve the larger EDS community and other audiences.
      - Effectively share research results with colleagues and the broader
      science community through peer-reviewed publications, presentations, and
      other science products.
   - *(20%)* Work with the ESIIL team and network on collaborative
   projects, such as with working group(s), hackathon teams, or summit
   participants, to advance environmental data science.

 What You Should Know
What You Should Know

   - This is a two-year position and the anticipated start date is as soon
   as* October 1st, 2026, *but is negotiable.
   - Location: The Postdocs will work in person at ESIIL's main office on
   the CU Boulder campus in Boulder, CO. A hybrid work modality is possible,
   following CIRES and university guidelines and policies. This is not a fully
   remote position. The in-person cohort experience and engagement with the
   ESIIL community is a key aspect of this position.
   - In the application, candidates are welcome to suggest a mentor who is
   affiliated with a research institution in the United States. ESIIL has
   funds available to support travel to Boulder for potential mentors within
   the U.S.

 What We Can Offer
What We Can Offer

   - CIRES offers a generous compensation and benefits package.
   - The annual hiring salary for this position ranges from $64,000.00 to
   $69,000.00. Salary is commensurate with education and experience and
   determined based on our CIRES internal career track classification.
   - Some relocation funds are available for this position following CIRES
   and the University of Colorado’s relocation processes and procedures.
   - CIRES and the University of Colorado boulder offer a robust training
   curriculum, opportunities for professional development and a Mentorship
   Program.
   - Boulder <https://bouldercolorado.gov/> is a vibrant community with
   access to mountain parks, dog parks, miles of trails, rivers, lakes, cafes,
   restaurants, boutiques, theaters, museums, and sports venues.
   - As an employee at CU Boulder, you will have free access to the regional
   public transit system, <https://www.rtd-denver.com/> an outstanding
   network of buses, and light rail systems that service Boulder and connect
   to Denver, the Denver airport, and surrounding communities.

 Benefits
Benefits
The University of Colorado offers excellent benefits
<https://www.colorado.edu/jobs/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 <https://www.colorado.edu/about>.
 Be Statements
Be Statements
Be creative. Be talented. Be Boulder.
 What We Require
What We Require

   - Ph.D. in environmental, biological, social, computer science, or data
   science field (including but not limited to Biology, Ecology, Ecosystem
   Science, Forestry, Geography, Sociology, Psychology, Anthropology,
   Economics, Geoscience, Space Engineering, Computer Engineering, Math,
   Environmental Studies, Remote Sensing Science, etc.).

 What You Will Need
What You Will Need

   - Knowledge of open-source programming languages (e.g., R, Python).
   - Commitment to Open Science (i.e., available and findable data,
   reproducible and transferable codes to run on public cyberinfrastructure
   and open publications) and Open Education.
   - Effective project management skills (e.g., self-directed, independent).
   - Knowledge of ethical and reciprocal research practices.
   - Collaborative spirit and comfort working in large collaborative teams.
   - Willingness to collaborate and contribute within ESIIL working groups,
   hackathons, and/or summits.

 What We Would Like You to Have
What We Would Like You to Have

Please note that while the position details both required and preferred
skills and experience, we invite applicants to apply even if they do not
have the preferred skills and experience outlined in this section. If you
meet the requirements and have passion for the work, you are encouraged to
apply. We encourage on the job training for any additional skills or
knowledge that become relevant to the position.

   - Experience with multi-source, big data gathering, curation, and
   publication.
   - Experience and/or knowledge of innovative data and analytics (e.g.,
   AI/ML models).
   - Experience and/or knowledge of notebooks and cyberinfrastructure.
   - Experience with collaborative team science.
   - Experience with writing and publishing robust science.
   - Experience and/or knowledge of open-source tool development and
   publication.
   - Experience developing or participating in workshops with community
   partners.

 Special Instructions
Special Instructions

To apply, please submit the following materials:

   1. Resume or CV.
   2. A Cover Letter describing your relevant experience, knowledge,
   skills, and any experience with innovation in open science. Please provide
   information in your cover letter regarding the prospective mentor's
   affiliation, research background, and potential contributions to the
   planned research project, if suggested by the candidate. Please note that
   an identified mentor is not necessary as part of the application.
   3. A 2-page Research Statement that outlines your planned research
   project for ESIIL and how it aligns with your past research experience and
   ESIIL’s mission and goals.
   4. A Data Description (1 page or less) that provides information on the
   data intended to be used for the project, including a basic description of
   the data, a link to any accessible data source(s), anticipated data
   harmonization or analysis challenges, and any limitations on the use of
   protected or proprietary data. Please note that ESIIL does not support the
   collection of new data.
   5. List of contact information for three professional references (name,
   title, professional relationship, email). You do not need to include
   letters of recommendation with your initial application. If you are
   selected as a finalist for this role, the search committee will request 3
   letters of recommendation at a later time.
   6. Please be prepared to be interviewed if you are selected as one of
   the finalists.

Application Deadline: This posting will close September 15, 2025.

If you are selected as the finalist, your degree will be verified by the CU
Boulder Campus Human Resources department using an approved online vendor.
If your degree was obtained outside of the United States, please submit a
translated version as an optional attachment.

Note: Application materials will not be accepted via email. For
consideration, please apply through CU Boulder Jobs.
<https://www.colorado.edu/jobs/>

In compliance with the Colorado Job Application Fairness Act, in any
materials you submit, you may redact or remove age-identifying information
such as age, date of birth, or dates of school attendance or graduation.
You will not be penalized for redacting or removing this information.
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <https://mailman.ucar.edu/pipermail/es_jobs_net/attachments/20250827/f924a4f1/attachment.htm>