The Cooperative Institute for Research in Environmental Sciences
(CIRES) in Boulder, Colorado is seeking a Remote Sensing Data
Scientist to work in the Earth Lab.
The chosen candidate will assist researchers and students with
Earth data management, data science, and visualization by
conducting custom project-specific analyses and developing generic
libraries for broader use. Analytics methods including statistics,
machine learning, and artificial intelligence for computer vision
and other deep learning applications. The applicant will contribute
to collaborative and open-source code (R or Python) and package
development. A primary aim of this role is to use emerging
techniques in data science to integrate different datasets and
process remote sensing data for use in cross-scale analyses from
research plots to the entire globe. This is a relatively new area
of Earth Science, so the candidate does not need to be a specialist
on all aspects of the problem, but should be willing to learn and
show initiative. We use state-of-the-art computing that
demonstrates existing cyber-infrastructure investments including
high-performance compute and cloud services.
The candidate should have excellent technical and communication
skills and be comfortable working in a team environment.
This position will be in Boulder, Colorado, with an office at Earth
Lab under the direction of the Analytics Hub Director.
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.
Who We Are
Cooperative Institute For Research In Environmental Sciences
CU-Boulder’s Cooperative Institute for Research on Environmental
Science (CIRES) provides data science for a number of research
initiatives around the campus. At CIRES, more than 800
environmental scientists work to understand the dynamic Earth
system, including people’s relationship with the planet. CIRES is a
partnership of NOAA and the University of Colorado Boulder, and our
areas of expertise include weather and climate, changes at the
Earth’s poles, air quality and atmospheric chemistry, water
resources, and solid Earth sciences. Our vision is to be
instrumental in ensuring a sustainable future environment by
advancing scientific and societal understanding of the Earth
Earth Lab is part of CIRES and the CU-Boulder’s Grand Challenge:
Our Space, Our Future. Earth Lab’s mission is to harness the data
revolution using Earth observations from aerospace platforms
(drone, aircraft, and space) and other sources (e.g., social media,
etc.) to better understand the pace and pattern of environmental
change. Earth Lab:
What Your Key Responsibilities Will Be
- Capitalizes on the data deluge from Space to accelerate global
environmental change science;
- Reduces environmental risk and surprise by understanding and
predicting slow and abrupt Earth system change; and,
- Trains a new generation of data scientists in Earth
What We Can Offer
- Lead data fusion solutions to process diverse remote sensing
datasets (active and passive) across a range of resolutions (e.g.,
high resolution <1 m to coarser resolutions ~30-500 m), in
conjunction with novel datasets (e.g. Microsoft building, Zillow,
etc.), into information of value for cross-scale scientific
analysis using machine learning and artificial intelligence.
- Consult with and advise scientific researchers at the
University of Colorado Boulder on efficient, appropriate, and
powerful computational and informatics approaches for advancing
scientific investigations in programming languages they use.
- Assist with the development and maintenance of Earth Lab’s
Analytics Hub, and instruct users on how to utilize our
- Work with Earth Lab developers and cyber-infrastructure
collaborators to optimize interoperability and long-term
sustainability of these codebases and datasets as generalized
resources for science researchers.
- Support UAV field campaigns and data processing for scientific
- Participate in training efforts, including workshops for
postdocs, graduate, or professional students.
- CIRES can offer a generous compensation package. Salary is
commensurate with education and experience and determined based on
our CIRES internal career track classification.
- The annual hiring salary range for this position is $50,000 -
- Relocation funds are available for this position following
CIRES and the University of Colorado’s relocation processes and
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
Be Ambitious. Be Dynamic. Be Boulder.
What We Require
What You Will Need
- Bachelor’s or graduate degree in remote sensing, applied
mathematics, computer sciences, or related fields with experience
working with science groups OR a Bachelor’s degree or higher in the
physical, earth, or environmental sciences or related fields with a
strong quantitative background in remote sensing machine learning,
artificial intelligence, and programming.
- Three year’s experience in Earth observation, data science,
and/or a quantitative scientific field.
- Quantitative skills in remote sensing and informatics using
Earth/ atmospheric/ geoscience/ biological data from cameras,
drones, aircraft, and satellites.
- Quantitative skills in applied computer vision, or other deep
- Demonstrated proficiency working with either R or Python.
What We Would Like You To Have
- Communication skills to work well with other
scientists/researchers in face-to-face and remote
- Knowledge of machine learning and artificial intelligence
methods to explore and analyze large remote sensing datasets with
these programming languages.
- Knowledge in data processing and manipulation, including
formatting, ingest, and data cleaning in machine-readable
- Desire to educate academic researchers on how to use these
tools, which includes a strong service background.
Please note that while the position details both required skills
above as well as desired skills and experience below, we want
applicants to be aware that they do not need to have all of the
desired skills and experience to be considered for this position.
If you meet the minimum qualifications, have passion for the work,
along with experience in a related field, you are encouraged to
apply. We encourage on-the-job training for any additional skills
or knowledge that become relevant to the position.
- Knowledge of Earth observations with experience working with
remote sensing data from camera, drone, airborne, and satellite at
- Experience with multiple modalities of remote sensing data
(e.g., multispectral, hyperspectral, radar, thermal, etc.).
- Strong familiarity with collecting, organizing, and analyzing
Earth and environmental science remote sensing data.
- Previous experience with collaborative coding and/or open
source software, e.g., git, GitHub.
- Previous experience working in cloud computing (e.g., Amazon
- Experience working with commercial off-the-shelf drones (e.g.,
DJI) and cameras (e.g. Micasense).
- Ability to contribute to a diverse and inclusive
- Previous teaching experience.
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.
You don’t need to include letters of recommendation with your
initial application. If you are identified as a finalist for this
role, the search committee will request letters of recommendation
at a later time.
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
Applications submitted by the end of the day on August 13, 2021
will receive full consideration. The position will remain open
Note: Application materials will not be accepted via email. For
consideration, applications must be submitted through CU Boulder Jobs
Posting Contact Information
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