Computational Aerosciences Topics of Interest
The National Institute of Aerospace (NIA) has an opening for a Research Engineer or Scientist to join its research team located in Hampton, Virginia in order to pursue a project in one or more of the following topic areas:
- High and mixed fidelity simulations and for rotary-wing applications
- Gradient-based sensitivity analysis and optimization for multidisciplinary applications
- Efficient and robust unsteady CFD solvers
The successful candidate will work as part of a team including researchers from NIA, NASA Langley Research Center, and universities, and will be expected to collaborate across disciplines and organizations in performance of the work.
Develop and support efficient computational methodologies for multidisciplinary analysis and optimization of rotary-wing configurations.
- PhD in engineering, computer science, mathematics, physics, or equivalent. Students within 1 year of completion of their PhD in an above field may be considered for an employment position that blends degree completion with work requirements with the intention of working full time upon completion.
- Knowledge in discretization and solution algorithms for unstructured-grid CFD.
- Advanced programming skills in modern Fortran and/or C++.
- Excellent written and verbal communication skills.
- Demonstrated work in cross functional team environment.
Interested candidates should apply via NIA’s career opportunities site located at www.nianet.org under the ‘About NIA’ tab. Please include a letter of introduction, resume, and the names and contact information of three current references.
NIA, located near NASA Langley Research Center in Hampton Virginia, is a non-profit research and graduate education institute created to perform aerospace and atmospheric research, develop new technologies for the nation, and help inspire the next generation of scientists and engineers.
NIA ranked #3 in the 2019 Top 50 Best Nonprofits to work for in the U.S.!
NIA is an equal opportunity/affirmative action employer and does not discriminate against any applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, or any other characteristic prohibited under Federal, State or local laws.