[ES_JOBS_NET] Assistant Research Prof / Postdoc Associate, University of Maryland, GEDI

Tali Schwelling tschwell at umd.edu
Fri Oct 7 15:11:39 MDT 2022


Hi all,

The Department of Geographical Sciences at University of Maryland, College
Park, is seeking multiple Professional Track Research Faculty Members
(non-tenure positions) at either the Post-Doctoral Associate rank or the
Assistant Research Professor rank, commensurate with qualifications and
experience. Salary and benefits are highly competitive. These positions
will cover a range of activities, including support of the Global Ecosystem
Dynamics Investigation - GEDI (https://gedi.umd.edu/), other research
projects, as well as new research proposed by the applicant.

GEDI data support research projects at UMD in the areas of biomass
estimation, habitat characterization, and prognostic ecosystem models,
among others. GEDI data are also being used in research projects
specifically targeting their fusion with our remote sensing data, including
passive optical, lidar, SAR and SAR-interferometry, such as NASA’s NISAR
and ICESat2 missions, and DLR’s TanDEM-X mission. The GEDI mission is
expected to continue making observations in 2022 with final mission data
products at the end of FY2024, while other associated research projects
have timelines that extend beyond this date. Candidates will contribute to
various aspects of GEDI and allied science
analyses, including refinement and validation of science algorithms,
post-flight calibration and validation, development of field observation
data bases, science data product development, data, multi-sensor data
fusion, including SAR remote sensing.

Applicants should have a background in disciplines aligned with Earth
observation and terrestrial ecology, including interests in remote sensing
science, machine learning, ecosystem structure and biomass, ecosystem
modeling, habitat/biodiversity studies and related areas. Applicants are
encouraged to develop their own research interests in these areas,
leveraging the resources and the University of Maryland, NASA Goddard
Spaceflight Center (GSFC) and others. Technical expertise in lidar or SAR
remote sensing is highly desirable; however, applicants with strong
experience in other areas of remote sensing, or in application of machine
learning to remote sensing are also encouraged to apply.

The researchers will be located at the new International Center for
Innovation in Earth Observation and Geospatial Analysis at the University
of Maryland but may also spend time nearby at NASA Goddard Spaceflight
Center. There may also be periods of fieldwork, both domestic and foreign,
in support of research products and goals.

Minimum Qualifications and Required Skills

   - An earned doctoral degree in Geographical Sciences or allied fields in
   environmental science, such as Biology and Forestry is required.
   - Candidates with doctoral degrees in other fields (for example,
   Physics, Computer Science, and Electrical Engineering) with a demonstrated
   knowledge and understanding of remote sensing of the land surface will also
   be considered.
   - Competent programming and statistical skills (e.g., such as Python,
   IDL, MatLab, C/C++, R, TensorFlow) are required. Candidates at the level of
   - Assistant Research Professor must have a demonstrated ability to
   independently conduct research as evidenced by peer-reviewed publications.

Applications should include a personal statement of background and
experience relevant to the position, a signed, dated Curriculum Vitae,
reprints (or accessible download urls) of selected peer-reviewed
publications, and names and addresses (including e-mail) of 3-5 references.
Applicants with specific
research interests they would like to pursue at UMD are encouraged to
contact Ralph Dubayah (dubayah at umd.edu) to discuss their potential plans.

To Apply: https://ejobs.umd.edu/postings/100025

Applications from women and minorities are particularly sought. Further
information on the research programs of the Department may be obtained from
the address above and can be found at http://www.geog.umd.edu.

-- 
Tali Schwelling (she/her)
Faculty Specialist
Department of Geographical Sciences
University of Maryland College Park
Office: 301-405-3144 | Cell: 443.414.8735 | Email: tschwell at umd.edu
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