NASA ISGC Fellowship

Application Deadline: March 12, 2021

Thank you for your interest in applying for the NASA Idaho Space Grant Consortium 2021-2022 Graduate Fellowship. Each fellowship is worth $27,000 and is good for one year. Applications must be completed by March 12, 2021. Letters of Recommendation must be submitted by March 15, 2021. 

Please note that once you open the application, you will not be able to open it back up to make changes. With that in mind, we strongly recommend that you have the following prepared before starting the application:

1) Current resume

2) Latest unofficial transcript

3) Research proposal

4) Contact information for two letters of recommendation

Your research proposal must include:

1) Title Page with date of submission, title of project, and an abstract briefly describing the proposed research

2) Description of proposed research to include the goals, methods, and expected outcomes.

3) Research timeline

4) Alignment with NASA's current activities

5) Publication Plan

6) References

7) (Optional) Previous ISGC Fellowship support

 

The Research Proposal should not exceed 5 pages, excluding references, title page, and previous ISGC Fellowship support information.

 

Your proposal will be evaluated based on how well it addresses the following:

*Merit of proposed research - Are the goals of the research attainable? Are the proposed methods feasible?

*Research timeline - Is it feasible to complete the research within the 1 year fellowship timeline? Are tasks and milestones clearly articulated?

*Alignment - Is the proposed research aligned with NASA's Strategic Goals and/or the goals of the ISGC?

*Publications - Is there a publication plan? Is it reasonable?

Two letters of recommendation are necessary to complete your application. One of these must come from your Research Advisor who will be supporting you during your award period. Please send each of your recommending parties the following link to fill out: https://app.smartsheet.com/b/form/4b515da3ab2a45489e55f15bbebaa8a5

If you have any questions, please reach out to us at isgc@uidaho.edu

NASA Fellowship

Application Deadline: February 21, 2021 

Up to $45,000

"Each year NASA Fellowship Activity seeks student-authored and independently conceived graduate research proposals responding to a NASA Research Opportunity listed in the solicitation. The NASA Fellowship Activity is designed to support NASA STEM Engagement objectives and to provide academic institutions the ability to enhance graduate-level learning and development.

To be eligible to submit a proposal, candidates must be U.S. citizens or a naturalized citizen who hold a bachelor's degree in a science, technology, engineering or mathematics (STEM) field earned before fall semester of the academic year. Candidates must be enrolled in a master's or doctoral degree program no later than September 1, of the academic year, and intend to pursue a research-based masters or doctoral program in a NASA-relevant field.

 

For more information and questions concerning these program elements may be directed to Vandhana Lal at vandhana.lal@nasa.gov"

2020-2021 Fellowship Awardees

IMAG0003.JPG

Maggi Kraft

Ph.D, Department of Geosciences

Boise State University

Estimating snowmelt in forested mountain watersheds with ground measurements, lidar remote sensing, and MODIS fSCA

 

Abstract:

Mountain snowpack provides water for 60 million people in the western United States and approximately one-sixth of the world’s population. With decreasing water resources and snowpack, it is essential to quantify and predict snow accumulation and melt for current and future water resources. Forest canopies influence the under-canopy net radiation and snowmelt across a landscape, resulting in spatially heterogeneous snow depth and snowmelt timing. The primary goal of the proposed research is to advance the knowledge of how vegetation controls snowmelt and the temporal and spatial distribution of snow depletion to improve streamflow prediction in complex mountain terrain. This research will combine NASA satellite data, NASA SnowEx aerially collected remote sensing data and ground measurements to improve the accuracy of estimating watershed scale snow surface energy balance to predict snowmelt timing and magnitude. 

IMG_1989.JPG

Rachel Stein

Ph.D, Department of Fish & Wildlife Resources

University of Idaho

Applying Lidar to Novel Measures of Wildlife Habitat

Abstract:

Wildlife behavior is influenced by habitat information gained through multiple sensory modalities that aid in detection of resources and danger. The sensory information available is directly affected by environmental variables such as habitat structure. Increased understanding of how habitat structure shapes the information accessible to wildlife will lead to more precise estimates of resource selection and a greater understanding of the functional links between habitat resources and behavior. Such information is vital for managing wildlife populations and their habitats. I will develop and expand on methods for estimating the information accessible to wildlife in two sensory modalities: vision and sound. New advances in the use of lidar provide a means of mapping viewsheds and soundsheds (spatially explicit measurements of visual and sonic information) within a three-dimensional environment. However, the new methods of viewshed analysis have not been applied or evaluated across different lidar platforms. Likewise, the new methods of soundshed analysis have only been developed for broad-scale lidar data, have not been tested across lidar platforms, and have not been tested against site-specific sound measurements. I will develop and test these new methods of viewshed and soundshed estimation within a forest habitat measured using three lidar platforms (airborne, drone, and terrestrial). Results of this work could be applied to NASA’s Earth Science Division’s Carbon Cycle and Ecosystems goal. By developing and validating new ways of mapping habitat properties using technology at multiple scales, this work could help NASA map these ecosystem properties and monitor them and their changes into the future.