"Open Rank Faculty in Aerospace Optimization"

Open Rank Faculty in Aerospace Optimization

Company: Virginia Tech

Job Location: Blacksburg, 24061

Category: Aerospace Engineering

Type: Full-Time

Job Description

The Kevin T. Crofton Department of Aerospace and Ocean Engineering (AOE) at Virginia Tech invites applications for a full-time, tenure-track faculty position in Aerospace Optimization at the rank of Assistant, Associate, or Full Professor, depending on qualifications effective August 2026. We seek exceptional candidates with expertise in the theory and application of optimization to aerospace systems. Areas of particular interest include, but are not limited to: Optimization under uncertainty and robust design methods, Real-time and embedded optimization for guidance, navigation, and control, Large-scale or distributed optimization for complex aerospace systems, Machine learning, reduced-order modeling, surrogate modeling, and data-driven approaches with applications to aerospace optimization, Multidisciplinary design optimization (MDO). Candidates will be expected to develop and sustain a strong, externally funded research program; teach undergraduate and graduate courses; and advise students at all levels. The successful candidate will also contribute to the department's ongoing efforts to modernize curricula and expand interdisciplinary research in advanced aerospace system design and operation.

Required Qualifications

Applicants must hold an earned doctorate (Ph.D. or equivalent) in Aerospace Engineering or a closely related discipline by the time of appointment. Applicants should offer a strong scholarly record; an ability to work collaboratively; a commitment to research excellence; a commitment to service; and a willingness to expand disciplinary boundaries to address complex technical and societal challenges. Successful applicants will be responsible for mentoring graduate and undergraduate students, teaching and developing courses, and developing a vibrant externally sponsored research program.

Overtime Status: Exempt: Not eligible for overtime

Appointment Type: Regular

Hours per week: 40

Review Date: December 1, 2025

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