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Work type:Research Faculty
Senior management: College of Engineering
Department: Aerospace and Ocean Engineering
Location:Blacksburg, Virginia
Categories:Engineering, Research / Scientific

Job Description

The Kevin T. Crofton Department of Aerospace and Ocean Engineering at Virginia Tech is seeking a postdoctoral researcher to work on two projects. The first project, approximately 2/3 time with Prof. Chris Roy as the primary collaborator, involves applying machine learning tools to improve computational fluid dynamic (CFD) predictions of hypersonic aerodynamics and heating. This project will involve research in Favre-Averaged Navier-Stokes (FANS) turbulence models, aided by machine learning, to predict surface heating, skin friction, and flow separation for hypersonic flows. The second project, approximately 1/3 time with Prof. Todd Lowe as the primary collaborator, involves supporting ongoing and future CFD model validation experiments including subsonic smooth-body turbulent flow separation

Additional information on Dr. Roy’s and Dr. Lowe’s research can be found at:
www.aoe.vt.edu/people/faculty/roy.html (Dr. Roy)d
www.aoe.vt.edu/people/faculty/lowe.html (Dr. Lowe)

The position is at the university’s main campus in Blacksburg, VA. Opportunities for teaching and service-related activities are available to successful candidates.

Required Qualifications

• An earned doctoral degree in Aerospace Engineering, Mechanical Engineering, or related discipline. PhD must be awarded no more than four years prior to the effective date of appointment with a minimum of one year eligibility remaining.
• Experience with conducting research in computational fluid dynamics (CFD)
• Experience with Reynolds- and/or Favre-averaged Navier-Stokes turbulence models
• Experience programming in modern Fortran, C, C++, or Python
• Ability to work effectively in a team
• Strong communication skills

Preferred Qualifications

• Experience with machine learning techniques
• Experience with experimental fluid dynamics techniques
• Experience with finite volume CFD methods
• Experience with high-speed compressible flows
• Experience with programming and high performance computing

Appointment Type

Restricted

Additional Information

The successful candidate will be required to have a criminal conviction check.

About Virginia Tech

Dedicated to its motto, Ut Prosim (That I May Serve), Virginia Tech pushes the boundaries of knowledge by taking a hands-on, transdisciplinary approach to preparing scholars to be leaders and problem-solvers. A comprehensive land-grant institution that enhances the quality of life in Virginia and throughout the world, Virginia Tech is an inclusive community dedicated to knowledge, discovery, and creativity. The university offers more than 280 majors to a diverse enrollment of more than 36,000 undergraduate, graduate, and professional students in eight undergraduate colleges , a school of medicine , a veterinary medicine college, Graduate School , and Honors College . The university has a significant presence across Virginia, including the Innovation Campus in Northern Virginia; the Health Sciences and Technology Campus in Roanoke; sites in Newport News and Richmond; and numerous Extension offices and research centers . A leading global research institution, Virginia Tech conducts more than $500 million in research annually.

Virginia Tech does not discriminate against employees, students, or applicants on the basis of age, color, disability, sex (including pregnancy), gender, gender identity, gender expression, genetic information, national origin, political affiliation, race, religion, sexual orientation, or military status, or otherwise discriminate against employees or applicants who inquire about, discuss, or disclose their compensation or the compensation of other employees or applicants, or on any other basis protected by law.

If you are an individual with a disability and desire an accommodation, please contact Cory Thompson at coryt10@vt.edu during regular business hours at least 10 business days prior to the event.