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Aerospace and Ocean Engineering Faculty Position
2 months ago
About the Position
The Commonwealth of Virginia is seeking a highly qualified candidate to fill a tenure-track faculty position in Machine Learning at the Assistant Professor rank in the Kevin T. Crofton Department of Aerospace and Ocean Engineering at Virginia Tech. The successful candidate will be responsible for building and sustaining a scholarly research program in machine learning applied to aerospace or ocean engineering systems and teaching undergraduate and graduate curricular content in machine learning.
About the Department
The Kevin T. Crofton Department of Aerospace and Ocean Engineering is a leading research institution with a strong focus on machine learning and artificial intelligence. The department has a highly regarded teaching and research program, with over $12M in annual research expenditures and a diverse student body of approximately 260 full-time graduate students and 700 undergraduate students.
About the University
Virginia Tech is a public land-grant university committed to teaching and learning, research, and outreach to the Commonwealth of Virginia, the nation, and the world. The university has a strong commitment to inclusive excellence and is dedicated to creating a diverse and inclusive environment for all students, faculty, and staff.
Responsibilities
The successful candidate will be responsible for mentoring graduate and undergraduate students, teaching and developing courses, and developing a vibrant externally sponsored research program. The candidate should have 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.
Requirements
The successful candidate must hold a Ph.D. degree and have expertise in machine learning algorithms and data curation. The candidate should also have a strong interest in the application of ML to aerospace or ocean engineering design, analysis, or autonomy.
