This job has expired

Ecosystems Modeler

Employer
CSS
Location
Canton, North Carolina, US
Salary
Competitive
Closing date
Oct 23, 2021

View more

Sector
Academic / Research
Field
Informatics / GIS
Discipline
Restoration
Salary Type
Salary
Employment Type
Full time
You need to sign in or create an account to save a job.
Responsibilities:

CSS is seeking a Coastal Ecosystems Modeler to join our team and support NOAA NCCOS Coastal Resilience, Restoration, and Assessment Lab, Beaufort, NC.

Overview

CSS seeks a PhD Level scientist to provide support for applied research projects at the NOAA National Centers for Coastal Ocean Science laboratory (NCCOS) in Beaufort, NC. The NCCOS team conducts basic and applied research on the impact of environmental drivers on ecosystem response variables, including salt marsh primary production and species distribution, carbon burial and flux, sediment accretion and shoreline erosion. In addition, the research team uses this information to assess the resilience of coastal ecosystems through a variety of modeling approaches and for developing nature-based approaches to increase the resilience of coastal ecosystems and communities.

The successful applicant will support the project titled "". The project's goal is to determine the best environmental assessment approach to inform the design and implementation of Natural and Nature-Based Features (NNBF) for enhanced coastal resilience, with a focus on beneficial use of dredged sediment. The project will be conducted in the coastal area around Beaufort, NC, and Jacksonville, FL.

Specific project elements to be supported by the successful applicant include:

Evaluate existing models which predict marsh vulnerability/resilience to sea level rise and wave energy in siting NNBF in the proposed NC and FL locations (e.g. MEM, SLAMM, UVVR, TNC Resilient Coastal Sites South Atlantic).

Investigate incorporation of other models that characterize coastal hydrology and geomorphology for planning purposes (e.g. ADCIRC, GEOMBEST);

Refine and run models to analyze both protective (increased marsh resiliency to sea level rise and erosion) and non-protective (carbon sequestration) services of designed NNBF projects;

Work with Principal Investgators (PI), stakeholders and resource managers to develop guidance documents that describe the process to identify and implement sediment driven NNBF; and,

Work with PI to develop manuscripts for publication in peer-reviewed journals.

Qualifications:

Minimum Qualifications:

PhD degree or equivalent experience (six years of research beyond Master's degree) in Ecology, Applied Statistics, Geography, Oceanography;

Strong background in coastal wetland ecology, wetland biogeochemistry, geomorphology, hydrology, GIS analysis, geospatial or numerical modeling, data visualization, and R programming;

Demonstrated excellence in written and oral scientific communication skills, and working independently and with a team.

Work Location:

Chapel Hill, NC or Beaufort, NC.

A start date between October 15 and November 15, 2021 is anticipated.

Some activities can be conducted via telework. A flexible work schedule may be arranged.

Project partners are located at the University of North Carolina-Chapel Hill Institute for the Environment, EA Engineering, Science and Technology, and the US Army Corp of Engineers Environmental Research & Development Center.

CSS is an Equal Opportunity/Affirmative Action Employer who provides equal employment opportunities to all employees and applicants for employment without regards to race, color, religion, sex, gender identity, sexual orientation, pregnancy, national origin, age, disability, veteran status or genetic information. In addition to federal law requirements, CSS complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
You need to sign in or create an account to save a job.

Get job alerts

Create a job alert and receive personalised job recommendations straight to your inbox.

Create alert