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Research Assistant in Meteorol - Cyclones and Climate Dynamics
Remote / Online - Candidates ideally in
Scranton, Lackawanna County, Pennsylvania, 18512, USA
Listed on 2026-07-21
Scranton, Lackawanna County, Pennsylvania, 18512, USA
Listing for:
Penn State University
Remote/Work from Home
position Listed on 2026-07-21
Job specializations:
-
Research/Development
Research Scientist, Research Assistant/Associate
Job Description & How to Apply Below
## Research Assistant in Meteorol
-Tropical Cyclones and Climate Dynamics Apply locations:
Penn State University Parktime type:
Part time posted on:
Posted Todayjob requisition :
REQ_#
** APPLICATION INSTRUCTIONS:*** ## CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process. Please do not apply here, apply internally through Workday.* ## CURRENT PENN STATE STUDENT (not employed previously at the university) and seeking employment with Penn State, please login to Workday to complete the student application process. Please do not apply here, apply internally through Workday.
* ## If you are NOT a current employee or student, please click “Apply” and complete the application process for external applicants.
** Approval of remote and hybrid work is not guaranteed regardless of work location. For additional information on remote work at Penn State, see Notice to Out of State Applicants.*
* ** JOB DESCRIPTION AND POSITION REQUIREMENTS
** This position in the Department of Meteorology at Penn State supports a scientific researcher to work on projects at the intersection of tropical cyclones and large-scale climate. The successful candidate will:
* Clean, organize, and manage Earth system model data for internal analysis and public release
* Run idealized geophysical models to better understand the upscale impacts of tropical cyclones on the general circulation of the Earth
* Apply scientific theory and literature to physically interpret model simulation output
* Write and contribute to peer-reviewed scientific publications
* Develop, document, and maintain clean, well-organized code for data processing and analysis workflows
Ideal candidates will have an M.S. degree (or higher) and prior experience with Python, the Community Atmosphere Model, and working with gridded weather and climate data in NetCDF formats, along with strong scientific communication skills.
* To be considered for this position, please submit a resume and cover letter online.
* #J-18808-Ljbffr
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