CIRES/ EARTH LAB Frontiers in Teaching & Learning Earth Data Science Post-Doc

Earth Lab is seeking a Post-Doctoral Research Scholar to lead a research agenda in the following area: Frontiers in Teaching & Learning Earth Data Science. This targeted research area represents Earth Lab’s efforts to explore natural and social system vulnerability and resilience to global environmental change, while also capitalizing of the diversity of data available to generate new insights. All postdoc positions are for one year with the possibility of extension based on performance and funding availability.


About the Earth Analytics Education Initiative


The Earth Lab Earth Analytics Education Initiative provides cutting-edge, collaborative, scientific discovery skills to undergraduate, graduate, and professional students. Our programs teach core skills surrounding four areas at the intersection of science and data science including: 


Integrating heterogeneous data.

Technical data and data science skills to support reproducible scientific workflows. 

Scientific communication and collaboration.

Core science domain knowledge. 

The education initiative program is dedicated to open source software and open education and includes:


A professional certificate and forthcoming master’s program in Earth Data Analytics. 

A leadership role in pyOpenSci  (modeled after rOpenSci), a community that is devoted to well documented and peer reviewed Python software for scientists.

An undergraduate internship program.

A growing online learning portal ( with open education resources that has over 50,000 unique global users a month.

A suite of tools that support teaching technical data skills to diverse audiences in blended online and in person learning environments.

Research surrounding best practices in teaching earth data science skills to diverse audiences in online and in person environments.


We seek a motivated post doctoral researcher, who is enthusiastic about studying best practices for teaching data intensive science and who has demonstrated experience teaching technical data skills for science using new and innovative approaches. This candidate will push forward a research track on data-intensive teaching and learning that has been underway in our team. The ideal candidate will support proposal and publication development as well as teach workshops and courses, tool development and documentation of tools as it fits. The successful applicant has demonstrated higher education and/or teaching experience with technical education groups (e.g., the Carpentries) and has worked in or is comfortable working in highly collaborative teams. Ideally this candidate has technical data skills including scientific programming and experience with evaluation and assessment of data science training and education initiatives. This is a one year position with the possibility of extension based on performance and additional funding support from proposals and workshop development. Further, as the education initiative grows, there is the possibility of this position over time joining the education team as a full-time staff.


  • Develop and pursue research on questions related to earth analytics education.
  • Develop survey instruments independently, with our team and with external evaluators as needed to support assessment and evaluation efforts.
  • Write and contribute to publications associated with data-intensive education.
  • Collaboratively teach data-intensive workshops which include topics including git / GitHub, Python, R and open reproducible workflows.
  • Teach or support courses in the earth analytics professional program.
  • Work on other technical projects including tool development as it fits.
  • Support proposal development surrounding data-intensive education.

What You Should Know

This position is located at the University of Colorado at Boulder's main campus

All postdoc positions are for one year with the possibility of extension based on performance and funding availability.

Review of applications will begin October 18. The position will remain open until filled.

What We Can Offer

We can offer a competitive salary and a comprehensive benefits package.


PhD in the natural or social sciences, Learning Sciences and/or STEM education.

Background and experience with evaluation and assessment of data science training and/or education initiatives.

Data-intensive teaching experience, preferably in the sciences.

Experience with IRB and developing human subjects research.

Demonstrated experience and dedication to teaching.


What We Would Like You To Have

Experience using Git/ Github.

Experience using qualtrics or other survey development tools.

Experience with online instructing and online lesson development.

Experience in, or ability to learn, appropriate programming and data analytic tools. 

Experience in programming languages (e.g., R, Python, or others), can work in different environments (e.g., Linux), and are proficient in geospatial analysis software (e.g., QGIS).

Experience in integrating and analyzing large, and/or heterogeneous datasets.

Experience in working with high-performance computing or cloud computing environment is a plus (Earth Lab supports both HPC & cloud compute on AWS).


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.

Application Materials

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 contact information for 3 references who will be willing to write a confidential Letter of Recommendation for you. 

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.


Review of applications will begin October 18. The position will remain open until filled.


Note: Application materials will not be accepted via email. For consideration, applications must be submitted through CU Boulder Jobs.

Job Number


Date Posted

Wednesday, September 25, 2019


Post-Doc Opportunity