Folks,

Virginia Tech’s Department of Computer Science is looking for faculty in AI and 
ML. See the ad pasted below. Feel free to reach out to me with questions, as 
I’m on the search committee. I’ll also be at NIPS, if you want to discuss there.

Bert

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ASSISTANT PROFESSOR IN AI/ML

The Department of Computer Science at Virginia Tech (cs.vt.edu) seeks 
applicants for a tenure-track assistant professor position in artificial 
intelligence and/or machine learning.  Exceptional candidates at higher ranks 
may also be considered.

Candidates with core research interests in AI/ML are especially encouraged to 
apply. Some example areas include deep learning, reinforcement learning, 
natural language processing, probabilistic models, optimization, and learning 
theory, computing, and intelligent systems.



CANDIDATES
The successful candidate will join an active group of CS faculty in the AI/ML 
area, many of whom are members of the Discovery Analytics Center 
(dac.cs.vt.edu), which leads data science research on campus. CS faculty also 
collaborate in other interdisciplinary research groups, including the Center 
for Human Computer Interaction (hci.vt.edu) and the Center for Business 
Intelligence and Analytics (cbia.pamplin.vt.edu). Faculty participate in data 
analytics education initiatives (analytics.cs.vt.edu), including the 
Computational Modeling and Data Analytics 
(ais.science.vt.edu/programs/cmda.html) undergraduate program.

Computer Science also collaborates closely with many departments, including 
Electrical and Computer Engineering (ece.vt.edu) and Statistics (stat.vt.edu), 
and more broadly across the university, including with the Hume Center for 
National Security and Technology (hume.vt.edu) and the Biocomplexity Institute 
(bi.vt.edu). Successful candidates will have the opportunity to engage in 
transdisciplinary research, curriculum, and outreach initiatives with other 
university faculty working in the Data & Decisions Destination Area, one of 
several university-wide initiatives (provost.vt.edu/destination-areas).

Candidates must have a Ph.D. in computer science or related field at the time 
of appointment, and a rank-appropriate record of scholarship and collaboration 
in computing research.  They are expected to develop a nationally recognized 
research group. The successful candidate will be expected to teach graduate and 
undergraduate courses, mentor graduate students, and should support diversity 
in the campus community. Virginia Tech is committed to building a culturally 
diverse faculty and strongly encourages applications from traditionally 
underrepresented communities. 

The position requires occasional travel to professional meetings. The selected 
candidate must pass a criminal background check prior to employment.

COMPUTER SCIENCE AT VIRGINIA TECH
The department has 53 teaching faculty, including 47 tenured or tenure-track 
faculty, over 950 undergraduate majors, and over 250 graduate students. 
Departmental annual research expenditures over the last four years average $12 
million. The department is in the College of Engineering (eng.vt.edu), whose 
undergraduate program ranks 13th and graduate program ranks 30th among all U.S. 
engineering schools (USN&WR).  This position is located at the main campus in 
Blacksburg, VA (blacksburg.gov), in a region that is consistently ranked among 
the country's best places to live.

HOW TO APPLY
Applications must be submitted online to jobs.vt.edu for posting #TR0180129. 
Applicant screening will begin on December 10, 2018 and continue until the 
position is filled. Inquiries should be directed to Dr. Edward Fox, Search 
Committee Chair, [email protected].

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.


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