Scientist in Passive Microwave Remote Sensing

The Cooperative Institute for Satellite Earth System Studies (CISESS) at the University of Maryland, College Park seeks to fill a position in passive microwave remote sensing.

 

Date posted

July 18, 2019 12:00 am

Application deadline

Aug. 19, 2019 12:00 am

Organization

The Cooperative Institute for Satellite Earth System Studies (CISESS)

Location

  • United States

Job description

Scientist in Passive Microwave Remote Sensing

Department: UMD/ESSIC/CISESS 

Starting Salary: Commensurate with experience 

Closing Date: Friday, August 30, 2019 

Duties:

The Cooperative Institute for Satellite Earth System Studies (CISESS) at the University of Maryland, College Park seeks to fill a position in passive microwave remote sensing. The successful candidate will join a team of scientists from CISESS and National Oceanic and Atmospheric Administration (NOAA) to develop, improve, and expand an operational over-land snowfall rate (SFR) product at NOAA. The SFR product is retrieved utilizing a 1DVAR-based algorithm from measurements taken by a set of microwave sounders and imagers/sounders such as NOAA-20 ATMS and GPM GMI. In collaboration with other team members, the scientist will perform the following duties:

  • Improve the 1DVAR forward model including ice microphysics
  • Enhance the SFR algorithm for challenging retrievals such as orographic snowfall
  • Develop SFR algorithms for over ocean, sea ice, and coast
  • Extend the SFR algorithm to new satellites and sensors
  • Calibrate and validate the SFR product with ground observations and radar estimates
  • Support and interact with users
  • Publish research results in scientific journals and present in conferences and workshops

Qualifications:

Applicant should have a PhD degree in remote sensing, atmospheric sciences, or a related field. Candidate with a MS degree in one of the above disciplines and at least 5 years of experience will also be considered. In-depth knowledge of radiative transfer is required, and experience with passive microwave radiative transfer modeling is highly desired. Applicant should have excellent programming skills in one or more of the following scientific languages: Matlab, C/C++, Fortran90/95, IDL, and Linux scripting languages. Successful candidate is expected to work both independently and collaboratively with the team. Strong verbal and written communication skills are desired. U.S. citizenship or permanent resident status is preferred but not required.

For more details

http://essic.umd.edu/joom2/index.php/employment/2853-scientist-in-passive-microwave-remote-sensing