Remote Sensing and Ice Scientist

Job Details

Job ID: 11826

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As a full-time scientist in the Sea Level and Ice group in the Earth Science Section at JPL, working on a project to develop global cryopshere datasets and advance understanding of large-scale processes that drive ice sheet change. You will be responsible for producing leading, high-profile, science that derives improved process understanding of ice shelf-ocean-glacier interactions from large volumes of remotely sensed (airborne and satellite) data. You will need to develop novel methods for retrieving large scale and continuous geophysical records relevant to ice shelf and glacier research from homogenous, discontinuous and low signal observations. You will need to lead proposals to multiple NASA programs to expand the amount and breadth of the current glaciological research already being performed at JPL. You will assist in managing an initiative to derive synthesized records of ice sheet and glacier change as measured from space. This includes helping with dataset production, validation, documentation and dissemination.


You will be expected to be a leader in your field, publish scientific findings in top-tiered peer-reviewed scientific journals as well as presenting results in relevant science team meetings, workshops and conferences.


Required Skills:

  • PhD or equivalent in Glaciology, Geophysics or a related technical discipline.
  • Advanced knowledge of ice sheet and ice shelf science as demonstrated through publications.
  • Advanced experience in large-scale remote sensing of the cryosphere (frozen earth).
  • Strong programming skills in Python, Matlab, and/or Julia.

Desired Skills:

  • Advanced expertise in remote sensing of ice shelf processes will be given preference over general cryosphere expertise.
  • Two or more years of related post-graduate experience.
  • Strong knowledge of satellite radar and laser altimetry. 
  • Experience developing altimetry retrieval algorithms.
  • Experience in handling large datasets.
  • Knowledge of machine learning techniques relevant to the analysis of large volumes of satellite data.
  • Knowledge of cloud computing infrastructure, of high-end computing, and parallel programing.
  • Experience generating science datasets for public distribution.
  • Experience being a principle investigator on grant proposals, preferably submitted to NASA funding calls.


Complete applications will include a cover letter describing the applicant’s vision for their role at JPL as a leader and contributor in the area of remote sensing and cryospheric science, a curriculum vita including a bibliography of refereed and other work, a statement on research experience and research objectives, and contact information for at least three professional references


Applications are due by May 22, 2020 or until filled and should be submitted at:

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