Candidates will contribute to various aspects of GEDI mission execution and science analysis, 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 among others in support of GEDI and allied projects in the International Center. Applicants should have a background in disciplines aligned with mission science objectives, including interests in remote sensing science, machine learning, biomass estimation, ecosystem modeling, habitat/biodiversity studies and related areas. In addition to supporting the GEDI Mission Team (https://gedi.umd.edu/mission/mission-team/) and the new GEDI Competed Science Team (https://gedi.umd.edu/mission/competed-science-team/) 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 remote sensing is desirable; however, applicants with strong experience in other areas of remote sensing, such as radar and optical, 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 will also be periods of fieldwork, both domestic and foreign, in support of aircraft calibration and validation campaigns.
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. For best consideration applications should be submitted no later than June 30th, but the search will continue until a suitable candidate is appointed.
The University of Maryland, College Park, an equal opportunity/affirmative action employer, complies with all applicable federal and state laws and regulations regarding nondiscrimination and affirmative action; all qualified applicants will receive consideration for employment. The University is committed to a policy of equal opportunity for all persons and does not discriminate on the basis of race, color, religion, sex, national origin, physical or mental disability, protected veteran status, age, gender identity or expression, sexual orientation, creed, marital status, political affiliation, personal appearance, or on the basis of rights secured by the First Amendment, in all aspects of employment, educational programs and activities, and admissions.
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