Fall 2022 Graduate Assistantships

Each year, faculty fellows at the Center for Geospatial Analytics seek prospective students for graduate assistantships funded through external grants. Opportunities available for students applying for Fall 2022 admission to the Ph.D. program in Geospatial Analytics will be posted below as funding is confirmed; we expect to add more assistantships in the coming months.

Human exposure to air pollution

The Richmond-Bryant Lab at North Carolina State University seeks a creative, motivated Ph.D. student with an interest in air pollution and environmental justice. The position will begin Fall 2022 and is funded for four years at $25,000/year, plus benefits and tuition support, through the cutting-edge Ph.D. program in Geospatial Analytics offered by NC State’s Center for Geospatial Analytics.

The selected applicant will have the opportunity to perform research through the Louisiana State University Superfund Research Program on Environmentally Persistent Free Radicals. The student will be part of an interdisciplinary and multi-institutional team working to characterize human exposure to air pollution emitted by an open-burn-open detonation hazardous waste facility (the only commercially permitted one of its kind in the U.S.) in a community with intersecting vulnerabilities. It is expected that the student will develop research questions and a project tailored to their unique interests and career goals.

Review of applications will begin immediately and continue until the position is filled. To apply, complete the application at grad.ncsu.edu/apply.  Applicants should have a background in environmental science and coding.

For more information about the position, contact Dr. Jennifer Richmond-Bryant (jrbryan3@ncsu.edu) and include a copy of your CV. Additional details about the Ph.D. program in Geospatial Analytics and complete application instructions are available at go.ncsu.edu/geospatial-phd. Interested students are also encouraged to contact Rachel Kasten, Graduate Services Coordinator (rachelkasten@ncsu.edu or 919-515-2800), with questions about the program or to explore additional opportunities.

Impacts of sunny day flooding on coastal water quality

The Biosystems Analytics Lab at North Carolina State University seeks a creative, motivated Ph.D. student with an interest in coastal systems to join an NSF-funded project which seeks to understand and predict the effects of “sunny day” floods on coastal water quality. The position will begin Fall 2022 and is funded for four years at $25,000/year, plus benefits and tuition support, through the cutting-edge Ph.D. program in Geospatial Analytics offered by NC State’s Center for Geospatial Analytics (geospatial.ncsu.edu).

The project will involve field work (sampling and collecting data via YSI EXO2 sondes) along the NC coast, and predictive modeling. The student will be encouraged to develop research questions and a project tailored to their unique interests and career goals.

Review of applications will begin immediately and continue until the position is filled. To apply, complete the application at grad.ncsu.edu/apply. Prior training or experience in water quality is required. Skills in R or Python are preferred.

For more information about the position, contact Dr. Natalie Nelson (nnelson4@ncsu.edu) and include a copy of your CV. Additional details about the Ph.D. program in Geospatial Analytics and complete application instructions are available at go.ncsu.edu/geospatial-phd. Interested students are also encouraged to contact Rachel Kasten, Graduate Services Coordinator (rachelkasten@ncsu.edu or 919-515-2800), with questions about the program or to explore additional opportunities.

Past Opportunities

Curious about what projects students have applied to work on in the past? Brief synopses are provided below:

  • Surface Water and Flooding Dynamics with Multi-sensor Time-series of Satellite imagery –– Join the Geospatial Analysis for Environmental Change Lab to answer questions pertaining to flooding and surface water dynamics through innovative use of remotely sensed imagery as part of interdisciplinary and multi-institutional team funded by NASA.
  • Building Capacity for Improved Citizen Science by Understanding the Racial-Spatial Bias in Environmental Data –– Join the Cooper Public Science Lab to explore multiple dimensions in the design and implementation of citizen science programs to address environmental injustices and public health challenges.
  • Large Scale Change Monitoring from Multisource Imagery –– Join the Spatial Ecosystem Analytics Lab to answer questions of broad significance through innovative use of remotely sensed imagery as part of an interdisciplinary and multi-institutional team building a system to monitor and characterize change over huge spatial scales using heterogeneous satellite imagery.
  • Hydro-Ecology and Forest Management for Global Change (two positions) –– Be part of collaborative project led by four faculty from the Center for Geospatial Analytics and Department of Forestry and Environmental Resources to study climate adaptive management for forest ecosystem services.
  • Analytics for Sustainable Agriculture –– Join the Biosystems Analytics Lab to leverage remotely sensed and in situ data to develop predictive and explanatory models for use in sustainable environmental and agricultural management.
  • Landscape Transformations –– Join the Dynamic Ecosystems and Landscapes Lab to research anthropogenic change and landscape transformations to improve landscape policy and management decisions.
  • Inequities in Built Environments & Active Living –– Join the C-WHERE lab to explore spatial energetics (space, place, human movement, physical activity) and how built environments influence active living, with a focus on righting inequities and bringing power to data.
  • Modeling the Spread of Infectious Swine Disease –– Join the Machado Lab to develop forecast models of swine diseases, focusing on the epidemiology of transboundary animal diseases, integrating approaches such as traditional spatiotemporal statistics for mapping disease spread and forecasting disease emergence in animal and human populations.

  • Carbon Cycles and Environmental Justice Policy –– Join the Ecohydrology and Watershed Science Laboratory to assess impacts of climate change and land use change on terrestrial water and carbon cycles and/or evaluating datasets and methodologies used for environmental justice policy.
  • Modeling the Spread of Invasive Species –– Join the Biological Invasions Lab join a research group focused on interactive near-term forecasting of landscape and environmental change, with emphasis on collaborating with stakeholders to explore what may happen in the future under different scenarios.
  • Remote Sensing of Geologic Hazards –– Join the Earth Surface Processes Lab to join a team of geoscientists combining field-based studies with geospatial analysis and modeling.

  • Landscape Connectivity Dynamics in Surface Water Networks — Join the Geospatial Analysis for Environmental Change Lab to investigate climate and land-use change effects on landscape connectivity dynamics.
  • Seasonality from Space — Join the Spatial Ecosystem Analytics Lab on a NASA-funded project investigating satellite data fusion and time series analysis.
  • Winter Weather — Join the Environment Analytics group to study the complex interactions within snow storms and wintery mix storms.
  • Modeling Forest and Water Resources under Changing Conditions — Join the Watershed Ecology lab group and combine various data sources to create projections of future landscape conditions.
  • Modeling Agricultural and Water Resource Dynamics — Join the Biosystems Analytics Lab to study the effects of global and local change on fresh and estuarine water quality, land-sea connectivity and agroecosystem productivity.
  • Surface Water Dynamics from Space — Join the Geospatial Analysis for Environmental Change Lab to investigate hydroclimatic drivers of surface water extent dynamics and advance quantification of water extent and volume.
  • Remote Sensing Forest Gap Dynamics — Join the Applied Remote Sensing and Analysis lab group to examine the role and influence of forest gaps in relation to localized large-scale disturbances.

  • Exploring Urban Planning Scenarios — Join a geovisualization research group focused on developing interactive online 3D visualization systems for innovative public engagement and urban planning in the Research Triangle Region of NC.
  • Natural Resource Management and Ecosystem Services — Focus on geospatial analytics for fire and natural resource management in national parks and protected areas, including modeling fire and ecosystem processes at landscape levels, forecasting development along park boundaries, and building decision support systems.
  • Sustainability Solutions with Land Change Science — Join an interdisciplinary team investigating the dynamics of urbanization and landscape change in the Southeast US through land-change modeling in collaboration with the US Geological Survey.
  • Outdoor Recreation Decision Support Systems — Join a research group focused on built environments and active living, and contribute to developing new decision support analytics for the Conservation and Outdoor Recreation Branch of the National Park Service.
  • Smart and Connected Communities — Join a team designing a publicly available, multi-user, online serious game called TomorrowNow to engage citizens and decision makers in developing collaborative scenarios of urbanization and stormwater management, as part of a new grant from the NSF Smart and Connected Communities program.
  • Biological Invasions and Plant Health — Join the Spatial Analytic Framework for Advanced Information Systems (SAFARIS) team to develop spatial models and techniques to forecast movement of invasive pests and pathogens affecting food security and natural ecosystems.
  • Participatory Video and Engaged Environmental Justice — Use participatory mapping and video methods to understand how communities address resource inequities in disaster recovery plans, as part of a larger research project focused on long-term recovery from Hurricane Matthew in NC.
  • Geospatial Social Networks of Environmental Governance — Examine changes in watershed governance following disasters with spatially-explicit social networks in order to understand how and why environmental governance transitions occur.
  • Seasonality from Space — Join a NASA-funded research project to generate moderate resolution land surface phenology from Landsat and Sentinel data fusion. Learn more.
  • Innovation in Local Government — Join a team developing solutions through geospatial visualizations and analytics for internal and external stakeholders of local government in partnership with Wake County, North Carolina.