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|Working Title:||Collegiate Faculty|
|Faculty Rank:||To Be Determined|
|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.
Virginia Tech’s College of Science, in concert with its departments of Economics, Mathematics, Psychology, and Statistics, has two openings for instructional faculty as part of the university’s Data and Decision Sciences initiative. Starting Fall 2017, the openings are at either our Blacksburg, VA campus or our Virginia Tech Center in Arlington, VA. Appointment at the rank of collegiate assistant professor is preferred, but senior ranks will be considered for exceptional candidates. These are full-time multi-year appointments (three years for assistant collegiate professors, five years for associate collegiate professors, and seven years for collegiate professors), open to indefinite multi-year renewals upon successful review. Appointment will be in the academic department within the College most appropriate to the successful candidate’s background and interests. Salaries will be competitive and commensurate with rank. A one-year visiting appointment will also be considered for suitable candidates.
We seek candidates who are passionate about teaching the art and techniques of data discovery, analysis, and decision-making to undergraduate and graduate students. Responsibilities with a regular appointment include teaching three courses per semester or the equivalent in course development, where successful candidates will:
• make significant contributions to instruction in methods of data analysis and analytics, which includes traditional statistical methods, computationally-intensive and massive data methods, as well as data science and analytics more broadly, construct measurement, and the translation of data-based conclusions to science-based policy and human behavior;
These positions are part of a major effort to emphasize quantitative methods throughout the curricula of a broad array of majors at Virginia Tech with training in computational modeling, data science and analytics, and empirical decision making.
Responsibilities for a visiting position, to include course and curriculum development and course delivery, will be contingent on the visitor’s strengths and interests.
Successful applicants will fill key roles in the university’s Data Analytics and Decision Sciences destination area.
Questions regarding the position can be directed to Dr. Michel Pleimling, Chair Faculty Search Committee, North End Center Suite 4300, Virginia Tech, Blacksburg, VA 24061-0405, Tel: (540)231-6073, Email: email@example.com.
Applicants must have a Ph.D. in Biostatistics, Economics, Mathematics, Psychology, Statistics, or a related field, with a strong emphasis on data-driven quantitative techniques; have active interest in inculcating these techniques in multiple curricula; and possess strong promise for being a collaborative leader in the instructional mission of the university. Applicants must have demonstrated experience with and commitment to teaching excellence; a desire to advise and teach a student body which is diverse with respect to socio-economic status, interests, and abilities; and commitment/sensitivity to address issues of diversity in the university community.
Desirable characteristics include a record of pedagogical achievement and vision and creativity relevant to instruction. Preference will be given to candidates with experience and demonstrated excellence in teaching, with a record of achievement as might be demonstrated by teaching awards, during a previous faculty appointment, or graduate teaching experience.
|Employment Conditions:||Must have a criminal background check|
|Must have a conviction check?||Yes|
|How to Apply for this Job:||
Applications must be submitted online at http://listings.jobs.vt.edu (posting TR0160159).
The application should include a cover letter, CV, and a teaching statement that specifically addresses your teaching experience and passion for communicating the methods and ideas of data-based inquiry. Please include names, addresses, telephone numbers, and e-mail addresses for three or more references. Applications will be accepted until the positions are filled, but all applications received by February 1, 2017, will be guaranteed full consideration.
|Employee Category:||Instructional/Research Faculty|
|If restricted or temporary, enter end date:|
|FLSA Status:||Exempt: Not eligible for overtime|
|Tenure Status:||Non-Tenure Track|
|Academic Year or Calendar Year?||Standard Academic Year|
|If part time, enter Percent Time:|
|Department:||Dean of Science|
|Location, if not Blacksburg:|
|Location Zip Code:||24061|
|Job Posting Date:|
|Review Begin Date:||02/01/2017|
|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.
Required fields are indicated with an asterisk (*).
- Resume/Curriculum Vita
- Cover Letter
- List of References
- Teaching Statement
- Research Statement