The National Socio-Environmental Synthesis Center (SESYNC) is seeking a graduate research assistant (GRA) for the Spring 2021 semester. The GRA will assist SESYNC’s data science team with tasks, primarily involving supporting external working groups and postdoctoral researchers. All tasks can be done remotely. A minimum of one semester commitment is expected, with the possibility of extension based on available funding. The position will require about 20 hours per week.
This person will work with the SESYNC data science team to assist SESYNC research groups with data processing, analysis, and visualization, especially geospatial data. This may involve discussing issues with researchers, debugging their scripts, or writing snippets of example code to get them started on a particular task. Other tasks may include assisting in managing virtual meeting logistics for SESYNC research teams, and communicating with teams about data management. Remote participation in weekly cyberinfrastructure team meetings will be expected, with additional meetings as needed to accomplish tasks.
Note: Applicants must be current graduate students at the University of Maryland, College Park.
- Experience using R and/or Python
- General familiarity with geospatial analysis concepts
- Experience actually conducting geospatial analysis in R and/or Python
- Background in a natural/social/earth science discipline
- Familiarity with using statistical and visualization packages in R and/or Python
- Familiarity with using remotely-sensed data
To apply, please submit a single PDF document that includes the following:
- A cover letter that includes your name, current program year, expected graduate date, advisor name, and department and that details your interest in the position and why you are a good candidate for this position.
- Your CV
- A list of 3 references.
All applications must be submitted here: https://apply.sesync.org/proposal/welcome/2020-JOB-03
For best consideration, applications should be submitted by Monday, January 18, 2021, at 5 p.m. Eastern Time.
Please direct any questions to Dr. Rachael Blake, Assistant Director for Data Science at SESYNC, at email@example.com.
The University of Maryland Is an Equal Opportunity Employer
Minorities and Women Are Encouraged to Apply