Asst. or Assoc. Professor
Job no: 511180
Work type: Teaching & Research Faculty
Senior management: College of Engineering
Department: Electrical and ComputerEngineering
Location: Blacksburg Area
Categories: Instructional / Teaching Faculty
The Bradley Department of Electrical and Computer Engineering at Virginia Tech seeks applications for one or more tenured/tenure-track positions in Computer Engineering, at the rank of Assistant or Associate Professor, specifically in the area of machine learning for autonomous systems, including (but not limited to) deep learning, knowledge representation & reasoning, reinforcement learning, reasoning under uncertainty, and their applications to perception in robotics and autonomy that is terrestrial, space-based or naval in scope. This position(s) will be based in Blacksburg, Virginia or the Greater Washington, DC, metro area.
The successful candidate will be expected to develop and maintain a vigorous, nationally recognized, funded research program. There are rich opportunities for collaboration with existing strengths across the University. The successful candidate will also be expected to teach undergraduate and graduate courses, and participate in service and outreach activities for the Department, College, and/or University. More broadly, the successful candidate should contribute to Virginia Tech's growing strength and leadership in Machine Learning research, education, and outreach.
An earned Ph.D. in Computer Science, Computer Engineering, Electrical Engineering, or a related field, completed prior to employment; effective communication skills; demonstrated excellence in research, scholarship, and teaching, or evidence of high potential for such excellence; ability to articulate a coherent agenda of research and scholarship, and to identify potential funding sources to support such research; willingness and ability to work in a technology-based research and education environment, such as is characterized by use of learning technologies, distance learning, online courses, video-conferencing, and network and grid-based collaborative research
Prior experience in the role of PI or Co-PI on funded research projects; ability and willingness to work collaboratively with faculty from a variety of disciplines; interest or experience in mentoring students, both undergraduate or graduate, in research; interest or experience in working effectively with a diverse student population
Commensurate with experience
The successful Candidate will be required to have a criminal conviction check
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. Building on its motto of Ut Prosim (that I may serve), Virginia Tech is dedicated to InclusiveVT—serving in the spirit of community, diversity, and excellence. We seek candidates who adopt and practice the Principles of Community, which are fundamental to our on-going efforts to increase access and inclusion, and to create a community that nurtures learning and growth for all of its members. Virginia Tech actively seeks a broad spectrum of candidates to join our community in preparing leaders for the world.
Virginia Tech does not discriminate against employees, students, or applicants on the basis of age, color, disability, sex (including pregnancy), gender, gender identity, gender expression, genetic information, national origin, political affiliation, race, religion, sexual orientation, or veteran status, or otherwise discriminate against employees or applicants who inquire about, discuss, or disclose their compensation or the compensation of other employees or applicants, or on any other basis protected by law.
If you are an individual with a disability and desire accommodation please contact the hiring department.
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