CIRES/Earth Lab Data-Intensive Course Developer/Instructor

Boulder, CO
Sep 21, 2017
Institution Type
Four-Year Institution

The Cooperative Institute for Research in the Environmental Sciences (CIRES) and the University of Colorado Earth Lab is accepting applications for a data-intensive course developer with a science background and experience programming in Python (required) and R (preferred) to develop undergraduate and graduate level courses that teach a blend of scientific programming and scientific computing workflows (version control, cloud computing, etc), earth science and interdisciplinary collaboration. Courses created will be included in a professional graduate certificate in Earth Data Analytics - Foundations and forthcoming professional master's program in Earth Data Analytics. This position will report to the Director of the Earth Analytics Education Initiative. Review of applications will begin on December 15, 2017, applications will be accepted until the position is filled. This will be a one-year appointment with full benefits, with the possibility of renewal after a year.

See the Earth Analytics Education website for more information.

The Earth Lab Earth Analytics Education Initiative is also invested in teaching and learning pedagogy and program assessment. The successful applicant will participate in evaluation activities including supporting development and implementation of evaluation protocols (surveys, rubrics, etc.) as well as research and publication in the area of data intensive instruction.


-Create data-intensive content for Earth Analytics courses that will be posted online (see for example course content)

-Serve as primary instructor for atleast one Earth Analytics course per semester

-Assist in pedagogical research and evaluation through administering course surveys, analyzing data, and publishing on findings

-Initiate and foster relationships with industry partners to devise hands-on course projects based on real private sector needs, in order to better prepare students for careers in Earth Analytics


Minimum Qualifications:

-[1] Master's degree in science with strong data-intensive component from an accredited university

-Demonstrated teaching / course / workshop development experience at the university level

-2-3 years of experience working with large, heterogeneous, spatio-temporal scientific and other related datasets using GUI and non-GUI based tools

-3-5 years experience teaching technical scientific topics

-Demonstrated proficiency in scientific programming, specifically Python

-Demonstrated working knowledge of Git / Github

-Experience with collaborative scientific workflows (e.g. Google suite, slack, etc)

Preferred Qualifications:

-PhD in science, mathematics or engineering with strong data-intensive component from an accredited university

- Demonstrated experience working with spatial and remote sensing data.

-1-5 years of teaching experience at the college level (can include experience gained during graduate studies)

-1-5 years of professional experience, working in sciences

-Demonstrated working knowledge of docker / containerized workflows

-Demonstrated working knowledge of cloud computing (e.g. Amazon web services)

-Demonstrated experience creating and teaching online courses

-Demonstrated experience working with data in R

-Interest in pursuing research in the realm of data-intensive teaching approaches (pedagogy)

Special Instructions to Applicants:The University of Colorado Boulder conducts background checks on all final applicants being considered for employment, prior to the issuance of an offer letter. The University of Colorado Boulder is committed to providing a safe and productive learning, living and working community. To achieve this goal, we conduct background investigations for all final applicants being considered for employment. Background investigations include a criminal history record check, and an EPLS (Excluded Parties List System) check. The Immigration Reform and Control Act requires that verification of employment eligibility be documented for all new employees by the end of the third day of work.

The University of Colorado is an equal opportunity and affirmative action employer committed to assembling a diverse, broadly trained faculty and staff. In compliance with applicable laws and in furtherance of its commitment to fostering an environment that welcomes and embraces diversity, the University of Colorado does not discriminate on the basis of race, color, creed, religion, national origin, sex (including pregnancy), disability, age, veteran status, sexual orientation, gender identity or expression, genetic information, political affiliation or political philosophy in its programs or activities, including employment, admissions, and educational programs. Inquiries may be directed to the Boulder Campus Title IX Coordinator by calling 303-492-2127. In accordance with the Americans with Disabilities Act, alternative formats of this ad can be provided upon request for individuals with disabilities by contacting Human Resources at

Application Materials Required:Cover Letter, Resume/CV, List of References, Unofficial transcript(s)

Application Materials Instructions:Applicants must complete the Faculty/University Staff and EEO Data (application) form, and upload the following required documents: 1 - A cover letter that specifically addresses the job requirements and outlines qualifications; 2 - Resume; 3 - The document uploaded for Proof of Degree can be a Transcript which shows the date the degree was conferred; Copy of Diploma; or official letter from the Registrar or the Dean of the School or College conferring the degree; 4 -All contact information for three professional references This position is eligible for medical, dental and life insurance, retirement benefits programs, and is eligible for monthly vacation and sick leave accruals.

Job Category: Faculty

Primary Location: Boulder

Department: B0001 -- Boulder Campus - 10080 - Coop Inst Res/Envrm Sci - Dir

Schedule: Full-time

Posting Date: Sep 20, 2017

Closing Date: Ongoing

Position Number: 00739570