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Job ID: 221548

Ph.D. Positions in Computational Modeling of Hypersonic Flow and Plasma Physics
University of North Dakota

Date Posted Sep. 16, 2023
Title Ph.D. Positions in Computational Modeling of Hypersonic Flow and Plasma Physics
University University of North Dakota
Grand Forks, ND, United States
Department Department of Mechanical Engineering
Application Deadline Open until filled
Position Start Date Spring/Fall 2024
  • Graduate Student
  • Mechanical Engineering
    Engineering Physics
    Engineering Mechanics
    Computer Science

The Computational Gas Dynamics and Plasma Physics Lab in the Department of Mechanical Engineering ( at the University of North Dakota ( is looking for applications for funded Ph.D. positions with a start date of Spring/Fall 2024. The successful candidates will carry out computational research on the modeling and simulation of hypersonic flow and plasma physics, using both continuum and kinetic theory methods coupled with high performance computing. They will have the opportunity to participate in existing and be encouraged to pursue new collaborative research.


The ideal candidate should have earned a B.S. or M.S. degree in Aerospace Engineering, Mechanical Engineering, Chemical Engineering, Materials Engineering, Applied Mathematics, Computer Science, Chemistry, Physics, or a closely related field.

Preferred qualifications:

  • Strong background in fluid dynamics, computational fluid dynamics, mathematics, and numerical methods and analysis.
  • Strong programming ability in C++, Python, or other object-oriented programming languages.
  • Experience developing numerical methods and computation code.
  • Experience with high performance computing.

About the professor:

Chonglin Zhang is an Assistant Professor of Mechanical Engineering at the University of North Dakota. He earned his PhD in Aerospace Engineering and Mechanics at the University of Minnesota in 2013. His research focuses on the kinetic theory based particle simulation methods, including the direct simulation Monte Carlo (DSMC) method and the particle-in-cell (PIC) method, with applications in hypersonic flow, rarefied gas dynamics, and plasma physics. He uses high performance computing (HPC) in his research. Prior to joining UND, he was a Research Scientist at Rensselaer Polytechnic Institute in Troy, NY, where he worked on developing simulation code to model plasma physics in tokamak device, a promising device for controlled fusion. Previously, he also spent several years as a Project Engineer in the automotive industry, where he worked with engineers and researchers from Ford, Toyota, and GM to help them design new products using Computational Fluid Dynamics (CFD).

To Apply:

Please email Dr. Chonglin Zhang at with the subject line "Ph.D. Application", including a brief cover letter, your CV, and unofficial transcripts "in a single PDF file".  Please only use the above subject line in your email. Otherwise I will not be able to locate your email and review your application.The review process will commence immediately and will continue until the positions are filled.

  • The University of North Dakota is an Affirmative Action/Equal Opportunity Employer.  All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or other protected characteristic.  Women, minorities, veterans, individuals with disabilities, and members of other underrepresented groups are especially encouraged to apply.  Applicants are invited to provide information regarding their gender, race and/or ethnicity, veteran’s status and disability status as part of the application process.  This information will remain confidential and separate from your application.

Please reference in your cover letter when
applying for or inquiring about this job announcement.

Contact Information

  • Chonglin Zhang
    Department of Mechanical Engineering
    University of North Dakota
    243 Centennial Dr Stop 8359
    Grand Forks, ND 58202
  • (701)-777-4475


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