#R-00160099
e work location of the incumbent's choice anywhere in the US.
Basic Qualifications:
English language fluency
US Citizen or Permanent Resident
Ph.D. in a technical field involving Earth observations or an MSc. with 4 years of relevant experience in geospatial data analysis and machine learning for Earth intelligence applications
Knowledge of satellite-based or airborne remote sensing instruments and methods, such as hyperspectral, multispectral, passive microwave, and thermal infrared
Proficiency with:
Established record of technical writing of proposals, reports, and user manuals
Preferred Qualifications:
MATLAB, IDL, R, or other high-level languages
Efficient geospatial data formats: NetCDF, HDF5, and Zarr
A variety of sensors for cryospheric applications - hyperspectral, multispectral, microwave, & thermal
Multi-sensor fusion techniques
Energy-balance modeling for cryospheric applications
Mobility applications - optimal route-finding strategies
DevOps
SQL databases
Radiative transfer models
Original Posting:
May 30, 2025
For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.
Pay Range:
Pay Range $85,150.00 - $153,925.00
The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.
#Remote