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Qualifications A PhD or PhD-equivalent doctoral degree in computer science, computer engineering, electrical engineering, or a closely related field; a record of scholarship commensurate with rank; evidence of
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to remain professionally active through teaching, consulting, outreach, and participation in professional societies and associations. Key Responsibilities and expectations of the position include: • Teach
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of Engineering as well as the new Virginia Tech Institute for Advanced Computing (IAC) located in the Greater Washington, D.C. area. The position involves conducting research in signal processing, machine learning
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depending on demand as determined by the Director of the Academy. • Workload consisting of 35% to 50% instruction; 40% to 55% course development, experiential learning development and support, outreach
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models and machine learning techniques for kinetic equations arising from plasma and neutron transport. The position will be based at Virginia Tech’s campus in Blacksburg, VA. The postdoc will have a
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. Preferred Qualifications • Experience with deep learning architectures applied to geophysical or environmental data. • Familiarity with physics-informed machine learning or hybrid modeling approaches
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broad range of research areas. We are interested in an experimentalist who can develop large datasets in support of emerging artificial intelligence and machine learning driven advances in fluid dynamics
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. The individual is expected to work collaboratively with multidisciplinary teams from academia, government, and industry, and serve as PI/Co-PI on projects. Required Qualifications • Successful completion of a PhD
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. Key responsibilities: • Teach undergraduate courses, from introductory to advanced levels of Graphic Design and User Experience Design (and possibly occasional non-majors, foundations, and graduate
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for construction operations. The successful candidate will contribute to cutting-edge research in mixed reality (MR)-based simulation platforms, machine learning-based process optimization, and human-machine