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Virginia Tech

Location: BlacksburgVA 24061 Document ID: AC382-0M47 Posted on: 2018-11-0611/06/2018 Job Type: Full-time

Job Schedule:Full-time
2018-12-06
 

Assistant Professor - AI & ML

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.

Position Summary:
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. Example application areas of interest include computer vision, robotics, social informatics, high performance computing, and intelligent systems.
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.
The Department of Computer Science has an active group of 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 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.

Required Qualifications:
An earned Ph.D. in computer science or closely related field at the time of the appointment, and a rank-appropriate record of scholarship and collaboration in computing research.
Record of significant research accomplishments (e.g., publications) and record of professional service commensurate with the assistant professor rank.
Ability to contribute to the department's teaching mission.

Preferred Qualifications:
Demonstrated interest in collaborative research in fields within the department's existing faculty or planned hiring.
Demonstrated ability and willingness to work collaboratively with faculty from a variety of disciplines.
Contributions to improving the diversity of the discipline, and experience in working effectively with a diverse student population.
Recognition of research excellence as demonstrated by, e.g., best paper or society awards.
Instructional experience in higher education.



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