| Position Summary: |
UDRI is seeking qualified applicants to apply for their Research Aerospace Engineer position. This position will work for the Air Vehicle Optimization division and is a full time benefit eligible position that offers health, dental and vision insurance, retirement, disability, tuition assistance, vacation/sick accrual and holiday pay.
The Air Vehicle Optimization Group at UDRI is a diverse team of skilled engineers and scientists who work closely with Air Force Research Laboratory (AFRL) to develop, prototype, and test numerical models, software, and hardware for the multidisciplinary design and analysis of aerospace vehicles. The group brings together specialties in Aerospace, Electrical, and Mechanical Engineering, Computer Science, Mathematics, and Physics to combine state-of-the-art engineering tools with innovative ideas to support future aircraft design methods from conceptual design through flight testing. A few of the projects the group currently supports include: Computational Aircraft Prototype Synthesis (CAPS), Missile Enhancement via ReconfigurabLe Interceptor Nose (MERLIN), Efficient Supersonic Aircraft Vehicle (ESAV), X-56, and XQ-58A.
The group is currently seeking an Aerospace Engineer to support ongoing research and development contracts at Wright-Patterson Air Force Base in the Air Force Research Laboratory to provide support for structural analysis toolkit development, support, and testing. Research Aerospace Engineers apply fundamental engineering principles to design, develop, document, maintain, and deploy software infrastructure and engineering analyses in the support of aerospace engineering research.
The successful candidate will bring to bear their skills and experience with one or more of the following: experience in structural mechanics and knowledge of the finite element method, experience in multidisciplinary analysis, sensitivity analysis, and design optimization, and experience with development for high performance computing environments. Strong communication and interpersonal skills are essential and highly valued in this role.
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| Minimum Qualifications: |
- A Masters or equivalent degree in Aerospace Engineering, Mechanical Engineering or related discipline from ABET accredited institution
- Knowledge or experience in structural mechanics
- Familiarity with multidisciplinary analysis and optimization including sensitivity analysis
- Experience with finite element method as applied to structures
- Familiarity with variety of numerical solution methods for nonlinear equations
- Proficient using C/C++, Python, MATLAB or similar programming languages for development of software applications
- Due to requirements of our research contracts with the U.S. federal government, candidates for this position must be a U.S. Citizen
- The candidate must be able to pass a National Agency Check
R2 level
Masters and two years of related experience is required
R3 level
Masters and seven years of related experience is required
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| Preferred Qualifications: |
While not everyone may possess all of the preferred qualifications, the ideal candidate will bring many of the following:
- Masters with 7 years experience or Ph.D. in Aerospace Engineering, Mechanical Engineering or related discipline from ABET accredited institution
- Experience with aeroelastic modeling, analysis and/or design
- Familiarity with existing an existing finite element library (e.g. libMesh, deal.II, FEniCS)
- Experience with C++ and Python
- Experience using cross-language tools for Python (e.g. Cython)
- Familiarity with GPU programming languages (e.g. CUDA)
- Familiarity with high performance computing (HPC)
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| Closing Statement: |
Informed by its Catholic and Marianist mission, the University is committed to the principles of diversity, equity, and inclusion. Informed by this commitment, we seek to increase diversity, achieve equitable outcomes, and model inclusion across our campus community. As an Affirmative Action and Equal Opportunity Employer, we will not discriminate against minorities, women, protected veterans, individuals with disabilities, or on the basis of race, color, national origin, religion, sex, sexual orientation or gender identity.
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