Remote Sensing Specialist - 08336
The Remote Sensing Specialist will provide expertise in satellite and/or aerial imagery and other remotely sensed data sources to accelerate the science at Earth Lab and develop innovative solutions to contemporary problems in Earth observation.
Who we are:
Earth Lab will capitalize on the data deluge from space and other platforms to accelerate science; reduce environmental risk by using these data to better understand and predict Earth System change; and train a new generation of earth analytic scientists to address outstanding Earth Science questions.
Earth Lab science projects combine satellite, survey, and field data collected at various spatial and temporal scales to answer critical Earth Science questions and predict change using cutting-edge computational approaches.
What your key responsibilities will be:
- Consult with and advise scientists at the University of Colorado Boulder on efficient, appropriate, and powerful computational and informatics approaches for advancing scientific investigations using remote sensing, Geographic Information Systems (GIS), and/or other spatial data sources.
- Provide recommendations, training, and support to Earth Lab members for remote sensing data processing software.
- Serve as an expert resource on existing and new satellite instruments, missions and data products such as Landsat, MODIS, VIIRS and SMAP.
- Develop and contribute to open source software libraries (e.g., Python and R packages) to assist with the remote sensing data acquisition, processing, and analysis.
- Develop and support approaches to integrate ground, airborne and spaceborne measurements.
- Work with Earth Lab developers and cyber-infrastructure collaborators to optimize interoperability and long-term sustainability of software and data.
- Participate in and lead teaching efforts, including training workshops or formal CU courses (e.g., support or lead development of training materials related to remote sensing data integration).
What you should know:
- The remote sensing specialist may supervise undergraduate interns as part of Earth Lab’s internship program.
What we can offer:
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 brilliant. Be engaged. Be visionary. Be Boulder.
What we require:
- Bachelor’s degree in geography, physical sciences, computer science, physics, or related fields.
- Three or more years working in a quantitative or scientific field working with satellite or airborne remote sensing data and/or GIS tools.
- Strong familiarity with collecting, organizing and analyzing scientific data, especially relative to physical science data.
- Proficiency working with one or more of the following languages/applications: R, Python, Julia, IDL, Octave, GRASS, QGIS, Matlab, C/C++, Fortran.
What you will need:
- Strong communication and collaboration skills.
- Expert knowledge in working with and processing remote sensing and GIS data, including multiband spectral imagery and lidar.
- Experience working with science groups and a strong quantitative background in geospatial analysis, and programming.
- Expert knowledge in data processing, including formatting, ingest, and data cleaning.
- Strong desire to educate academic researchers on how to use these tools, which includes a strong service background.
What we’d like you to have:
- A Master’s or PhD in geography, physical sciences, computer science, physics, or related fields.
- Advanced quantitative skills related to earth/atmospheric/geoscience data integration and analysis.
- Knowledge of remote sensing reflectance and thermal emission measurement techniques
- Knowledge of NASA’s Earth Observing System satellites and instruments and data quality concepts.
- Familiarity with uncertainty in instrument raw data and derived data products.
- Knowledge of Earth observations and experience working with satellite remote sensing data and imagery.
- Experience with cloud computing technology, especially the Amazon Web Services ecosystem.
- Experience with containerization and Docker-based workflows.
- Experience with the Digital Globe GBDX platform.
- Experience with Google Earth Engine
- Experience with parallel geospatial data processing on high performance computing infrastructure.
- Previous teaching experience.
Preferred qualifications may be used to further reduce the pool of applicants to those who are most highly qualified.
Special Instructions to Applicants: Please apply by March 1, 2017.
If you have technical difficulties submitting application information, please contact the CU Careers help desk at email@example.com . All other job related inquiries should be directed to the posting contact for this posting.Application Materials Required: Cover Letter, Resume/CV Application Materials Instructions: To apply, please submit the following materials to this posting at www.cu.edu/cu-careers:
1. A current resume.
2. A cover letter that specifically addresses the job requirements and outlines qualifications.
Please combine materials into one document and upload as titled: Last-First-Job Number.
Please do not upload references at this time.
: Research Services
Department: B0001 -- Boulder Campus - 10170 - Geography
: Feb 8, 2017
: Mar 2, 2017
Posting Contact Name: Boulder Campus Human Resources
Posting Contact Email: HRESmail@colorado.edu
Position Number: 00731578