Remote Sensing Analyst at the University of Nevada, Reno
The Global Environmental Analysis and Remote Sensing (GEARS) Laboratory (https://naes.unr.edu/gears/) in the department of Natural Resources and Environmental Science at the University of Nevada, Reno, is seeking a Remote Sensing Analyst with an immediate start date for an initial period of 1-year, with the opportunity to renew the position on an annual basis pending progress and funding. The analyst will be part of a large, collaborative project analyzing unmanned aerial vehicle (UAV) and terrestrial laser scanning (TLS) data of forest ecosystems. The analyst’s primary responsibilities will be to develop batch workflows for performing structure-from-motion (SFM) on UAV data in a high performance computing (HPC) environment as well as refining TLS data.
Job requirements: at least a bachelor’s degree in computer vision, computer science, engineering, physics, or a related geotechnologies field; Linux operating systems; at least 2 years of programming (R/Python/C++ preferred); experience with processing 3D point cloud data (e.g. LiDAR) via e.g. LAStools, PDAL or PCL.
Preferred skills: experience with photogrammetric software such as Pix4D and/or Agisoft Photoscan; Docker/Singularity; high performance computing; RiSCAN Pro; field forestry experience; UAV pilot’s license; use of a Riegl Terrestrial Laser Scanner.
To apply: Applicants should send an email to Dr. Jonathan Greenberg (jgreenberg@unr.edu) with the subject line “Remote Sensing Analyst” with a cover letter, curriculum vitae, and contact information for at least three professional references. Applications received before September 1, 2018 will receive full consideration. Salary will be commensurate with the applicant’s qualifications.