Postdoctoral Fellow - Space Plasma Physics (ECAS)

The Department of Physics and Astronomy in the Eberly College of Arts and Sciences (ECAS) at West Virginia University is seeking applications for a Postdoctoral Fellow - Space Plasma Physics. The position will support the research in inner magnetospheric physics by the Tu group, with a particular emphasis on studying and modeling the dynamics of energetic particles. Incumbent will work on a research project that includes both numerical modeling and data analysis.

Responsibilities are functional in nature and performed under general supervision. Specific tasks include, but are not limited to:

• Perform numerical modeling on the dynamics of energetic particles in Earth's inner magnetosphere.
• Analyze field and particle measurements of inner magnetosphere for both model inputs and comparison with simulation results.
• Attend research conferences and read scientific literature to keep abreast of technological advances and current research findings.
• Identify and assist with acquisition of funding from public, private, and governmental sources.
• Assist with development of novel research proposals for sponsor submission.
• Write proposals, papers, and abstracts to attract research funds.
• Search scientific literature to select and modify methods and procedures most appropriate for research goals.
• Oversee research facilities and personnel
• Assure compliance with research protocols and safety requirements.
• Oversee and direct undergraduate and graduate researchers in the completion of research.
• Write and present research/study status reports for review and use of the Principal Investigator.
• Prepare results of research findings for presentation to colleagues and the sponsor; at professional/technical conferences; and/or, for publication in scientific journals, as directed.
• PhD in Physics, Space Physics, Plasma Physics, or related discipline.
• Two (2) years previous research experience in space plasma physics (preferred: inner magnetospheric physics, data assimilation, or machine learning)
• Expertise in scientific programming, preferably in FORTRAN and/or C.
• Demonstrated ability to pursue independent research.
• Ability to work as part of a team.
• Skilled at using scientific rules and methods to solve problems.
• Skilled at identifying complex problems and reviewing related information to develop and evaluate options and implement solutions.