Postdoctoral Researcher in Ecosystems Modeling

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Deadline: 
Nov 01, 2019
Location: 
Annapolis, Maryland, USA


Start Date:
 April 2020
Best Consideration Date: November 1, 2019 

Dr. Isabel MD Rosa at Bangor University, Sarah Weiskopf at the USGS National Climate Adaptation Science Center, and the University of Maryland’s National Socio Environmental Synthesis Center (SESYNC) seek a postdoctoral researcher to investigate the linkages between biodiversity, ecosystem function, and ecosystem services, and how we can move towards integrated modeling of these relationships. The postdoc will lead the development of an interdisciplinary research program investigating how biodiversity impacts ecosystem functions, and how such relationships may vary depending on spatial and temporal scales, locations, types of biodiversity and/or ecosystem functions and services. Together with a wider network of researchers, the postdoc will work on improving the link between these modeling communities to study the reliance of ecosystems on biodiversity. The position is ideally suited to researchers with an interest in combining large-scale spatial modeling approaches, particularly related to biodiversity and ecosystem services modeling. Demonstrated ability to perform large-scale modeling in one or both of these fields is highly desirable. To learn more about this pursuit, please visit: http://sesync.us/ecomodel.

The postdoctoral researcher will be based at SESYNC, but will interact closely with a wider network of interdisciplinary workshop participants. The successful candidate will be provided the opportunity to lead part of the research project, coordinate collaborations, and publish results as lead author. SESYNC is located in Annapolis, Maryland, and is home to approximately 15 postdoctoral researchers studying diverse socio-environmental systems. The successful candidate will be a full and active member of the SESYNC Postdoctoral community and will participate in the Immersion Program and other professional development programs offered. Before applying, applicants are encouraged to learn more about the SESYNC Postdoctoral program here: http://sesync.us/postdoc2020

Qualifications: 

A completed Ph.D. in a relevant field (e.g. biology, ecology, computer science, geography, earth sciences) is required before the start date, with strong expertise in statistical modeling and spatial analysis highly desired. A promising record of research productivity is seen as highly valued and we expect the successful applicant to be enthusiastic, and an independent, motivated scientist who communicates well and thrives in a collaborative setting.

How to Apply: 

Applications should be received by November 1, 2019, but will be considered until the position is filled. To apply, please submit the following three items: (1) a cover letter stating your interest in the position, a summary of relevant past experience, particularly related to spatial modeling, and a description of why SESYNC’s interdisciplinary programs are important for your career advancement; (2) names and contact information for 3 professional references; and (3) a current C.V. Submit your completed application at the following URL:
https://apply.sesync.org/proposal/welcome/2019-JOB-05.

Questions about this position? Please email postdoc.application@sesync.org, Sarah Weiskopf (sweiskopf@usgs.gov), and Isabel Rosa (i.rosa@bangor.ac.uk).

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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