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              Post-Doctoral Associate

              Posting Details

              Posting Details

              Position Number: 113629
              Title: Post-Doctoral Associate
              Functional Title: Post-Doctoral Associate
              Category Status: 15-Fac.Non-Tenured,Continuing Con
              Applicant Search Category: Faculty
              University Authorized FTE: 1.000
              Unit: BSOS-Geography
              Campus/College Information:

              Founded in 1856, University of Maryland, College Park is the state’s flagship institution. Our 1,250-acre College Park campus is just minutes away from Washington, D.C., and the nexus of the nation’s legislative, executive, and judicial centers of power. This unique proximity to business and technology leaders, federal departments and agencies, and a myriad of research entities, embassies, think tanks, cultural centers, and non-profit organizations is simply unparalleled. Synergistic opportunities for our faculty and students abound and are virtually limitless in the nation’s capital and surrounding areas. The University is committed to attracting and retaining outstanding and diverse faculty and staff that will enhance our stature of preeminence in our three missions of teaching, scholarship, and full engagement in our community, the state of Maryland, and in the world.

              Position Summary/Purpose of Position:

              The Department of Geographical Sciences at the University of Maryland, College Park is a leader in integrated research on the coupled human and physical dimensions of global change, remote sensing, and Geospatial Information Science. The Department of Geographical Sciences is seeking applicants for a postdoctoral research position to work in Dr. Laura Duncanson’s research group, focusing on lidar remote sensing for forest ecology. The research project is funded by a new NSF grant which seeks to develop an Institute for Biodiversity Forecasting. This project brings together ecologists, environmental engineers, data scientists, and conservation stakeholders to determine optimal ways to integrate novel data sources to make near term forecasts for biodiversity at a global scale by addressing changes in (1) species’ abundance and geographic distribution, (2) community structure, and (3) ecosystem function. This position will focus primarily on the structural aspects of the wider project, using NASA’s GEDI data to explore relationships between forest structure and biodiversity at a global scale.

              The position will involve the processing and interpretation of NASA GEDI waveform lidar products, as well as exploration of other data streams that may aid in linking forest structure and function (e.g. Landsat, ICESat-2, OCO). This will be a minimum two-year position and involve working toward a larger proposal with the wider project team.

              Minimum Qualifications:

              Ph.D. in geographical sciences or a related field.
              An extensive background in remote sensing, and preferably lidar remote sensing.

              Preferences:

              A quantitative background and experience handling big data (parallel processing, etc.).

              While a background in ecology is not required, an interest in ecological theory or demonstration of past interdisciplinary work would be highly beneficial as the successful candidate will be working with a group of scientists from a wide range of backgrounds.

              Additional Certifications:
              Additional Information:

              Applications should include a personal statement of background and experience relevant to the position, a signed, dated Resume/Curriculum Vitae, and names and addresses (including e-mail) of 3 references.

              Posting Date: 11/25/2019
              Closing Date:
              Open Until Filled Yes
              Best Consideration Date 12/20/2019
              Physical Demands
              Diversity Statement:

              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.

              Applicant Documents

              Required Documents
              1. Cover Letter
              2. Curriculum Vitae
              3. List of References (no emails sent from system)
              Optional Documents

              Posting Specific Questions

              Required fields are indicated with an asterisk (*).

              1. * How did you hear about this position?
                • UMD Job Site
                • Personal Referral
                • Washington Post
                • Baltimore Sun
                • Local Publication
                • Chronicle of Higher Education
                • Inside Higher Education
                • INDEED
                • HERC
                • Hispanic Outlook
                • Diverse Jobs
                • HigherEdJobs
                • Professional Journal
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                • Other
                • SimplyHired
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