Fall 2020 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 2020 admission to the Ph.D. program in Geospatial Analytics are, and will continue to be, posted below.

Modeling the Spread of Infectious Swine Disease

The Machado Lab at North Carolina State University seeks a creative, motivated Ph.D. student with an interest in disease spread modeling to join a team developing forecast models of swine diseases. The position will begin Fall 2020 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 selected applicant will join a research group focused 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. The student will be actively involved in an ongoing project for which a large dataset has already been collected (disease occurrences, whole genomes, network of swine movements between farms); the main goal of this research is to develop flexible spatial and spatiotemporal models of swine disease spread while considering the evolutionary and ecological dynamics of the virus and the observed contact network of related farms. The student will be encouraged to develop research questions and a project tailored to their unique interests and career goals.

The Center for Geospatial Analytics at NC State is an internationally recognized hub for interdisciplinary data scientists pushing the boundaries of spatial data science to advance discovery and inform real-world decision-making. Students in the Ph.D. program receive multidisciplinary advising and the opportunity to work with over thirty faculty fellows with diverse expertise from over a dozen departments across NC State. Students also engage in experiential learning through an off-campus professional internship.

To apply, complete the application at grad.ncsu.edu/apply. Applicants should hold a degree in ecology, epidemiology, applied mathematics, computer science, spatial statistics or a related quantitative discipline. Experience with programming in R, Python, or a similar open-source platform, as well as previous publishing experience, is desired. 

For more information about the position, contact Dr. Gustavo Machado (gmachad@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.

 

Carbon Cycles and Environmental Justice Policy

The Ecohydrology and Watershed Science Laboratory (go.ncsu.edu/ecohydrology) at North Carolina State University seeks a creative, motivated Ph.D. student with interests in assessing 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. The position will begin Fall 2020 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 selected applicant will join a research group studying the implications of environmental processes for society, especially vulnerable communities struggling with legacies of environmental degradation and inequity. The student will be encouraged to develop research questions and a project tailored to their unique interests and career goals.

The Center for Geospatial Analytics at NC State is an internationally recognized hub for interdisciplinary data scientists pushing the boundaries of spatial data science to advance discovery and inform real-world decision-making. Students in the Ph.D. program receive multidisciplinary advising and the opportunity to work with over thirty faculty fellows with diverse expertise from over a dozen departments across NC State. Students also engage in experiential learning through an off-campus professional internship.

To apply, complete the application at grad.ncsu.edu/apply. Applicants should hold a degree in natural resources, geography, environmental studies, or a related discipline. Students interested in developing projects in collaboration with Indigenous communities are particularly encouraged to apply.

For more information about the position, contact Ryan Emanuel (reemanue@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.

 

Modeling the Spread of Invasive Species

The Biological Invasions Lab at North Carolina State University seeks a creative, motivated Ph.D. student with an interest in spatial data sciences to join a team modeling the spread of invasive species. The position will begin Fall 2020 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 selected applicant will 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. The student will be actively involved in projects sponsored by the USDA Animal and Plant Health Inspection Service (APHIS) to build tools to quantify at-risk areas and inform decisions regarding invasive pest and pathogen management. The student will be encouraged to develop research questions and a project tailored to their unique interests and career goals.

The Center for Geospatial Analytics at NC State is an internationally recognized hub for interdisciplinary data scientists pushing the boundaries of spatial data science to advance discovery and inform real-world decision-making. Students in the Ph.D. program receive multidisciplinary advising and the opportunity to work with over thirty faculty fellows with diverse expertise from over a dozen departments across NC State. Students also engage in experiential learning through an off-campus professional internship.

To apply, complete the application at grad.ncsu.edu/apply by February 1, 2020. Applicants should hold a degree in data science, plant science, ecology or a related discipline. Experience with programming in R and Python is desired.

For more information about the position, contact Ross Meentemeyer (rkmeente@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.

 

Remote Sensing of Geologic Hazards

The Earth Surface Processes Lab at North Carolina State University seeks a creative, motivated Ph.D. student with an interest in remote sensing to join a team of geoscientists combining field-based studies with geospatial analysis and modeling. The position will begin Fall 2020 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 selected applicant will join a research group applying remote sensing to geologic hazards research (e.g., landslides, earthquakes) through the use of techniques that will combine high-resolution digital topography (LIDAR) with spatial atmospheric models of precipitation amounts during storm events and numerical models of landslide initiation. The student will be actively involved in working with synthetic aperture radar interferometry (inSAR) for Earth surface change detection (e.g., large, slow-moving landslides or post-earthquake motion delineation). The student will be encouraged to develop research questions and a project tailored to their unique interests and career goals.

The Center for Geospatial Analytics at NC State is an internationally recognized hub for interdisciplinary data scientists pushing the boundaries of spatial data science to advance discovery and inform real-world decision-making. Students in the Ph.D. program receive multidisciplinary advising and the opportunity to work with over thirty faculty fellows with diverse expertise from over a dozen departments across NC State. Students also engage in experiential learning through an off-campus professional internship.

To apply, complete the application at grad.ncsu.edu/apply by February 1, 2020. Applicants should hold a degree in geology or a related discipline.

For more information about the position, contact Karl Wegmann (karl_wegmann@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:

  • 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.