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Assistant/Associate Professor

Position Information

Position Information

Working Title: Assistant/Associate Professor
Faculty Rank: Assistant Professor
Posting Number: TR0170126
About Virginia Tech:

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.

Position Summary:

The Bradley Department of Electrical and Computer Engineering at Virginia Tech seeks applications for a tenured/tenure-track position in Computer Engineering, at the rank of Assistant or Associate Professor, specifically in the area of perception 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. This position is based in Blacksburg, Virginia.
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. The successful candidate will have the opportunity to engage in transdisciplinary research, curriculum, and/or outreach initiatives with other university faculty working in the “Data and Decision Destination Area.”

Required Qualifications:

- 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

Preferred Qualifications:

- 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
- Experience in working with students as academic or career advisor, overseeing student internships, or service-learning activities
- Interest or experience in mentoring students, both undergraduate or graduate, in research
- Interest or experience in working effectively with a diverse student population
-Demonstrated experience leveraging the Data and Decision Destination Area expertise in broad, interdisciplinary teaching and/or research initatives.

Employment Conditions:
Must have a conviction check? Yes
Describe Other:
Employment Comments:
How to Apply for this Job:

Qualified applicants must submit a letter of application, a curriculum vita, a research statement, a teaching statement, and a list of at least three references electronically to Apply to posting number TR0170126. Please follow carefully the instructions found on the employment web site regarding the application submission process. Unfortunately, we are unable to accept paper applications. Paper applications or electronic applications sent via e-mail cannot be considered. Review of applications will begin January 15, 2018, and will continue until the position is filled with an appropriate candidate. The anticipated start date is August, 2018.

Employee Category: Instructional/Research Faculty
Appointment Type: Regular
If restricted or temporary, enter end date:
FLSA Status: Exempt: Not eligible for overtime
Tenure Status: Tenure Track
Academic Year or Calendar Year? Standard Academic Year
Percent Employment: Full-time
If part time, enter Percent Time:
Pay Range: Commensurate with Experience
Department: Electrical & Computer Engineering
Work Location: Blacksburg
Location, if not Blacksburg:
Location Zip Code: 24061
Job Posting Date: 09/19/2017
Review Begin Date: 01/15/2018
Job Close Date: (if applicable)
Restricted to university employees only?
Equal Opportunity/Affirmative Action Statement:

Virginia Tech does not discriminate against employees, students, or applicants on the basis of age, color, disability, gender, gender identity, gender expression, national origin, political affiliation, race, religion, sexual orientation, genetic information, 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 any other basis protected by law.

For inquiries regarding non-discrimination policies, contact the executive director for Equity and Accessibility at 540-231-2010 or Virginia Tech, North End Center, Suite 2300 (0318), 300 Turner St. NW, Blacksburg, VA 24061.

Reasonable Accommodation Statement:

If you are an individual with a disability and desire accommodation please contact the hiring department.

Quick Link:

Supplemental Questions

Required fields are indicated with an asterisk (*).

  1. Please describe recruiting source identified in previous question (if applicable):

    (Open Ended Question)

  2. How did you first learn about this job opening?
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    • Chronicle of Higher Education - print
    • Higher Ed Jobs (
    • Higher Education Recruitment Consortium - HERC (
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    • Commonwealth of Virginia Jobs (
    • Virginia Tech job site (
    • Facebook
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    • Job Fair (please describe below)
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    • Newspaper - print (please describe below)
    • Professional Conference (please describe below)
    • From a friend/acquaintance not associated with Virginia Tech (please name below)
    • From a Virginia Tech employee/representative/recruiter (please name below)
    • Veteran related event/site (please describe below)
    • Virginia Employment Commission - VEC
    • Other Virginia Tech affiliated website (please describe below)
    • Other job board such as Simply Hired, Career Builder, etc. (please describe below)
    • Other - Not listed (please describe below)

Required Documents

Required Documents
  1. Resume/Curriculum Vita
  2. Cover Letter
  3. List of References
  4. Research Statement
  5. Teaching Statement
Optional Documents