Dear Colleagues,
Please circulate the announcement below for a post-doctoral fellowship at Virginia Tech evaluating the effects of urban stormwater regulations on channel erosion. This project is in collaboration with David Sample at Virginia Tech and Andrew Miller at UMBC. I will be at the AGU conference next week if potential applicants would like to speak in person about the position.
Apologies for cross-postings!
Thank you for your help,
Tess
Tess Thompson, PhD
Associate Professor
Turner Fellow of Engineering
Assistant Department Head for Undergraduate Studies
Biological Systems Engineering
213 Seitz Hall, Virginia Tech
Post-Doctoral Fellowship in Urban Stream Management at Virginia Tech
The Department of Biological Systems Engineering at Virginia Tech is seeking a Postdoctoral Fellow to assist in a Chesapeake Bay Trust-funded research project. The project will evaluate the impacts of traditional and “low impact development” (LID) stormwater control measures (SCMs) on channel erosion. Two streams in the Baltimore-Washington DC area will be modeled using an urban watershed model (SWMM) and a channel evolution model (CONCEPTS), which will be coupled using an existing external control program, RSWMM. The two watersheds represent extremes in development patterns, i.e., nearly no control to extensive implementation of LID controls. Both watersheds have detailed data records sufficient to develop and test coupled models. Study results will compare the impact of traditional and LID practices on channel stability for each watershed and provide insight into the causes and potential solutions to channel degradation resulting from urbanization.
The selected individual will work with Drs. Theresa Thompson and David Sample of Virginia Tech, and Dr. Andrew Miller of University of Maryland, Baltimore County. The selected individual will lead model development and programming efforts, and will also participate in field data collection.
Please visit www.jobs.vt.edu, posting SR0180212 to apply for this position.
Required Qualifications
PhD in agricultural, biological, or biological systems engineering, civil/environmental engineering, hydrology, or related field completed by January 1, 2019.
Experience with hydrologic modeling and geographic information systems (GIS).
Knowledge of hydrology, hydraulics, water quality, and sediment transport.
Strong computer programming abilities, preferably R, Python, and/or Matlab.
Strong verbal and written English communication skills.
Preferred Qualifications
Experience with the SWMM and CONCEPTS.
Field experience with best management practices (BMPs), water quality and/or stream/river assessments. The ability to independently traverse rough, densely vegetated terrain will be needed.
Experience with model sensitivity, uncertainty analyses, and optimization.
Drivers license in any state and the ability to obtain a drivers license in Virginia within 30 days of appointment. Driving record will be assessed prior to hire.
The BSE Department at Virginia Tech is recognized both nationally and internationally for its education, research, and extension and outreach programs. The BSE Department consists of 17 tenured and tenure-track faculty, eight research scientists/research associates, three extension specialists/associates, and 12 technical staff/administrative professionals. Additional information about the BSE Department can be found at https://www.bse.vt.edu.
Virginia Tech is a public land-grant university, committed to teaching and learning, research, and outreach to the Commonwealth of Virginia, the nation, and the world. Building on its motto of Ut Prosim (that I may serve), Virginia Tech is dedicated to InclusiveVT—serving in the spirit of community, diversity, and excellence. We seek candidates who adopt and practice the Principles of Community, which are fundamental to our on-going efforts to increase access and inclusion, and to create a community that nurtures learning and growth for all of its members. Virginia Tech actively seeks a broad spectrum of candidates to join our community in preparing leaders for the world.
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