Summer Undergraduate Student Researcher
Summer Undergraduate Student Researcher
Posted on :
10-04-2025
Employer Active
1 Vacancy
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Share
Send me jobs like this
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Job Description
Job Description Summary
Wildfires can worsen floods by removing vegetation that stabilizes soil increasing the likelihood of erosion and runoff during postfire storms. The flood risk facing communities downstream of protective flood infrastructure increases when sedimentladen streamflow fills that flood infrastructure with sediment and debris. One potential solution for reducing wildfire risk and thus postfire flood risk is forest restoration: for example the removal of highly flammable invasive plants along roadways prone to wildfire ignitions. The goal of this research project is to model the impact on postfire flood risk of a forest restoration project proposed by the U.S. Forest Service to remove invasive plants along Ortega Highway in the Cleveland National Forest in Riverside County. The Undergraduate Student Researcher will be responsible for estimating model parameters to apply a PostFire Flood Hazard Model to mountain canyons upstream of flood infrastructure impacted by the forest restoration project. Job responsibilities include retrieving publicly available environmental data analyzing data using basic statistics and following an existing methodology to calculate model parameters. Knowledge of how to use Geographic Information Systems GIS to analyze spatial data is required (ArcGIS Pro is preferred but QGIS is also acceptable). Knowledge of how to apply programming skills for data analysis is required (familiarity with R and MATLAB is preferred but not required).
Responsibilities
Primary responsibilities include: Retrieving publicly available environmental data Analyzing data using basic statistics Following an existing methodology to calculate model parameters
Required Qualifications
GIS with ArcGIS Pro or QGIS ; basic programming knowledge for data analysis applications
Wildfires can worsen floods by removing vegetation that stabilizes soil increasing the likelihood of erosion and runoff during postfire storms. The flood risk facing communities downstream of protective flood infrastructure increases when sedimentladen streamflow fills that flood infrastructure with sediment and debris. One potential solution for reducing wildfire risk and thus postfire flood risk is forest restoration: for example the removal of highly flammable invasive plants along roadways prone to wildfire ignitions. The goal of this research project is to model the impact on postfire flood risk of a forest restoration project proposed by the U.S. Forest Service to remove invasive plants along Ortega Highway in the Cleveland National Forest in Riverside County. The Undergraduate Student Researcher will be responsible for estimating model parameters to apply a PostFire Flood Hazard Model to mountain canyons upstream of flood infrastructure impacted by the forest restoration project. Job responsibilities include retrieving publicly available environmental data analyzing data using basic statistics and following an existing methodology to calculate model parameters. Knowledge of how to use Geographic Information Systems GIS to analyze spatial data is required (ArcGIS Pro is preferred but QGIS is also acceptable). Knowledge of how to apply programming skills for data analysis is required (familiarity with R and MATLAB is preferred but not required).
Responsibilities
Primary responsibilities include: Retrieving publicly available environmental data Analyzing data using basic statistics Following an existing methodology to calculate model parameters
Required Qualifications
GIS with ArcGIS Pro or QGIS ; basic programming knowledge for data analysis applications
Employment Type
Temp
Key Skills
Report This Job
Disclaimer: Drjobpro.com is only a platform that connects job seekers and employers. Applicants are advised to conduct their own independent research into the credentials of the prospective employer.We always make certain that our clients do not endorse any request for money payments, thus we advise against sharing any personal or bank-related information with any third party. If you suspect fraud or malpractice, please contact us via contact us page.
