Post graduate Research Assistant

University of North Dakota • Grand Forks, ND

2d • Onsite

About The Position

This is a part-time, non-benefited position. The purpose of this role is to investigate the climatology and formation of tropical cyclones in the Institut Pierre-Simon Laplace (IPSL) climate model, with an emphasis on African easterly waves. The position involves presenting results at research group meetings, to students and faculty, and potentially at professional conferences. Additionally, the role requires attending monthly meetings of the NOAA Model Diagnostics Task Force (MDTF) via Google Meet and monthly meetings with collaborators from Penn State University.

Requirements

• Basic understanding of controls on tropical cyclone climatology, including formation, structure, and intensity.
• Data analysis and computer programming proficiency using Python, MATLAB, or an equivalent language.
• Experience with technical writing and reading peer-reviewed scientific literature.
• Must have a degree in Atmospheric Sciences
• Must have completed ATSC 270 (Computer Concepts in Meteorology) and ATSC 350 (Atmospheric Thermodynamics) through UND ATSC Department.
• Successful completion of a Criminal History Background Check
• In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the US and to complete the required employment eligibility verification form upon hire.
• This position does not support visa sponsorship for continued employment.

Responsibilities

• Investigate the climatology and formation of tropical cyclones in the Institut Pierre-Simon Laplace (IPSL) climate model, with an emphasis on African easterly waves.
• Present results at informal research group meetings, to Atmospheric Sciences students and faculty, and/or at professional conferences.
• Attend monthly meetings of the NOAA Model Diagnostics Task Force (MDTF) via Google Meet, and monthly meetings with collaborators from Penn State University.

What This Job Offers

• Job Type: Part-time
• Career Level: Entry Level