Ceres Imaging Internship
Positions: GIS and Remote Sensing Intern
Location: Oakland, CA
Innovation Area: Energy, Food, Water, Human Health and Environment Nexus
Position Type: TomKat Center-supported
Internship Term: 8 weeks
Ceres Imaging is a farming solutions company that helps growers and farm advisors make proactive decisions using aerial imagery and data analytics. Backed by university-validated science, Ceres Imaging seamlessly transforms precise crop imagery into actionable insights that help growers maximize resources, yields and profits. Ceres Imaging's team of experienced analysts, agronomist, and scientists are committed to giving farmers the power to solve with certainty.
As a GIS / Remote Sensing Analyst Intern, you'll work with a team of scientists and engineers to process and analyze customer imagery. Day-to-day responsibilities will include assessing the quality of automatically processed imagery, re-processing imagery (for example creating and editing shapefiles, or improving the georegistration); and analyzing multispectral imagery data to identify areas in a field that may require management changes.
Over time, you'll be involved in improving the quality of our automated image processing pipeline; and contributing to research to develop new products and analyses from the imagery we acquire.
Who Should Apply
Anyone interested in the chance to join a literally world-changing startup, working with an outstanding team of scientists, engineers and go-to-market professionals. We are entering another period of high growth, so if you're excited about the opportunity and are suitably qualified, please don't hesitate to apply now.
- Experience processing/producing both raster and vector data
- Experience working with geospatial databases (e.g., PostGIS)
- Attention to detail
- Good communication skills
- Experience preparing/editing scripts (e.g., python or R) desirable
- Experience using photogrammetry software highly desired (Agisoft PhotoScan)
- Majors in GIS/Remote Sensing/Environmental Sciences are all preferred