Postdoctoral Research Fellow - Remote Sensing, Phenology, and Data Assimilation

The George Mason University Department of Civil, Environmental, and Infrastructure Engineering--within the Volgenau School of Engineering--seeks a highly motivated Postdoctoral Research Fellow to conduct research in the fields of remote sensing, phenology, and data assimilation. George Mason University has a strong institutional commitment to the achievement of excellence and diversity among its faculty and staff, and strongly encourages candidates to apply who will enrich Mason's academic and culturally inclusive environment.

The candidate will be involved with NOAA and NASA-sponsored projects that integrating remotely sensed observations in a multi-model land data assimilation system. These projects propose to implement innovative data assimilation and merging techniques to improve terrestrial hydrologic modeling. Phenology and carbon cycle observations will be integrated into an ensemble-modeling framework that will produce terrestrial carbon-water-energy reanalyses over the North American Land Data Assimilation System domain at high spatial and temporal resolution. Specifically, this project will assess the efficiency of a multi-model ensemble assimilation technique by including four land surface models that have a dynamic vegetation phenology component within the assimilation system.

Responsibilities: This position will assist the project investigators in the interpretation and publication of results, exercise functional supervision over supporting graduate students, and contribute to scientific publications. As part of the postdoctoral experience, the incumbent will receive mentoring for developing research proposals, and participation in career development activities will be strongly encouraged.

Required Qualifications: * Must have a Ph.D. by the start of the appointment in one of the following disciplines: civil/environmental/water resources engineering, atmospheric science, hydrology, geography, physics, applied mathematics, or a related field; * Must be passionate and committed, have strong analytical and communication skills, and possess excellent Fortran programming skills; * Must have a background in land surface modeling, remote sensing, and data assimilation; * Must demonstrate an academic record of scientific excellence, independent research, and a strong interest in interdisciplinary studies; * Excellent modeling and programming skills are essential; and * Ability to successfully work in a team environment.

For full consideration, applicants must apply for position number F017Az at http://jobs.gmu.edu/; complete and submit the online application; and upload a cover letter highlighting their qualifications, a curriculum vitae, and list of three professional references with contact information.

To receive full consideration, application materials should be received by September 26, 2017. This is a one-year term appointment with the possibility of renewal based on the availability of funding.

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If you are interested in joining the Mason family take a look at our current opportunities and catch some Mason spirit at jobs.gmu.edu/!

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