[ES_JOBS_NET] Graduate Research Assistant in Nutrient/Water Resources Modeling, Raleigh, NC

[Daniel Obenour]

A graduate-student research assistant position (Ph.D. or Master’s) is
available in Dr. Dan Obenour’s Environmental Modeling and Forecasting lab
group at NC State University in Raleigh.  The position will focus on
modeling of nutrient flows and downstream water quality impacts.  This
position is associated with STEPS (https://steps-center.org/), a
convergence research center focused on phosphorus sustainability.  Through
STEPS, the selected student will have opportunities to interact closely
with researchers in other fields, provide stakeholder outreach, and support
junior students, including those from under-represented groups.

Primary responsibilities will include computational modeling and the
development of scholarly manuscripts and presentations.  The student will
be based at either the Department of Civil, Construction, and Environmental
Engineering or the Center for Geospatial Analytics, depending on the
student’s background and interests.  Preference will be given to motivated
candidates with expertise in one or more of the following areas: water
quality dynamics, geospatial analysis, coding, statistical modeling, and/or
machine learning.

Interested candidates should contact Dr. Obenour (drobenour at ncsu.edu),
providing a resume/CV and brief summary of research interests and
qualifications.  Outstanding candidates will be encouraged to submit a full
application (https://grad.ncsu.edu/programs/how-to-apply/).  Members of
under-represented groups are especially encouraged to apply.

Position is available in January 2024, though later start dates (e.g.,
August 2024) will be considered.  The selected applicant will receive a
competitive stipend, full tuition, and benefits.

Daniel R. Obenour, Ph.D., P.E.(TX) | Associate Professor
NCSU | Department of Civil, Construction, & Environmental Engineering
Fitts-Woolard Hall #3205 | 919/515-7702 | http://obenour.wordpress.ncsu.edu/
*A problem well stated is a problem half solved. - Charles Kettering*
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