Statistician Open Rank Faculty Search

 

The Virginia Tech Department of Statistics (www.stat.vt.edu) invites applications for an open rank tenured or tenure track faculty position in Statistics to begin in August 2018. Requirements include a Ph.D. in statistics or a closely related field; a research focus in data analytics, statistical/machine learning, data mining, stochastic modeling/inference, interactive data visualization, or any related branch of computationally intensive statistical methods; and teaching experience.

This position is part of a major emphasis on statistics, including computational modeling, data science and analytics, and empirical decision making at Virginia Tech. This position will support of the Computational Modeling and Data Analytics (CMDA) program (www.science.vt.edu/ais/cmda). CMDA, a multi-department effort including not just Statistics but also the Departments of Mathematics and of Computer Science, represents an entirely new approach to training quantitative scientists, one that develops foundations for, knowledge of, and skills in computationally intensive techniques for modeling and inference.

Successful applicants will also have the opportunity to be key players in the creation of the university’s “Data Analytics and Decision Sciences” destination area (http://provost.vt.edu/destination-areas/da-data.html). This is a rare opportunity to help develop and grow a truly innovative approach to education and research. Applications from researchers whose work and goals straddle traditional academic boundaries are especially encouraged.

Responsibilities

Expectations for this position include: maintaining a visible and vigorous funded research program; providing effective instruction and advising to a diverse population of undergraduate and graduate students; continuing development of professional capabilities and scholarly activities; curriculum development; participation in department, academy, college, and university governance; and professional service. The faculty handbook (available at http://www.provost.vt.edu) provides a complete description of faculty responsibilities.

Required qualifications

Applicants must have a strong background in statistics with specialization in data analytics, machine learning, data mining, stochastic modeling/inference, interactive data visualization, high performance computing and computationally intensive statistical methods; strong promise for developing, or in the case of senior applicants continuing, a well-funded, internationally distinguished research program; demonstrated experience with and commitment to interdisciplinary research; willingness to cross disciplinary boundaries to tackle complex scientific challenges; a desire to advise and teach a student body that is diverse with respect to socio-economic status, interests, and abilities; and commitment/sensitivity to address issues of diversity in the university community. Applicants must have earned a doctorate in a relevant discipline at the time of appointment.

Preferred qualifications

Preference will be given to candidates with demonstrated examples of interdisciplinary scholarship employing statistical and data analytical techniques. Preference will also be given to candidates with postdoctoral or similar experience, with a record of achievement as might be demonstrated during a postdoctoral or previous faculty appointment.

How to apply

Questions regarding the position can be directed to Professor Robert B. Gramacy (rbg@vt.edu), chair of the search committee. Applications must be submitted online at http://listings.jobs.vt.edu (#TR0170087) and should include a cover letter, curriculum vitae, teaching statement, research plan, and contact information for at least three references. Review of applications will begin on November 1, 2017. As part of the hiring process, the successful applicant must pass a criminal background check.

Virginia Tech is committed to a culturally and ethnically diverse campus environment and to principles that promote inclusive practices. Candidates are encouraged to address in their cover letters how their research, teaching, or service has prepared them to contribute to our commitment to diversity and inclusion in higher education. More information is available at http://www.inclusive.vt.edu/index.html.

Virginia Tech is an EO/AA university, and offers a wide range of networking and development opportunities to women and minorities in science and engineering. The university recognizes that meeting the needs of today’s professional couples is a key factor in recruiting and retaining new faculty and has established a dual career office to facilitate our commitment (http://www.hr.vt.edu/jobs/job_seeker/dualcareers/). The Department of Statistics offers a supportive environment, including a mentoring program, to its junior faculty. Individuals with disabilities desiring accommodations in the application process should notify Ms. Betty Higginbotham, Department of Statistics, Tel: (540) 231-5657, Email: higgvt@vt.edu.

 

Biostatistician / Health Analytics Open Rank Faculty Search

 

The Virginia Tech Department of Statistics (www.stat.vt.edu) invites applications for an open rank tenured or tenure track faculty position in biostatistics to begin in August 2018. Requirements include a Ph.D. in Biostatistics, Statistics, Biometry, Bioinformatics, Biomedical Informatics or a closely related field. The position is a 9-month, tenure or tenure-track appointment, with the opportunity to conduct additional extramurally funded research in the summer. Salary is competitive and commensurate with qualifications and experience.

This position is part of a university-wide emphasis on data analytics and statistics that will include hiring up to 9 faculty in the coming year, including biostatistics and health analytics, at Virginia Tech. The successful applicant will:

  • Lead a biostatistics research program and expand institutional capabilities by promoting and supporting research in the health sciences, as well as fostering synergistic interactions among Virginia Tech faculty, to build a foundation for additional biostatistics research.
  • Collaborate with researchers, scientists, and clinicians from across the university as part of Virginia Tech’s burgeoning health and medical research programs. Collaborating organizations include the Virginia Tech School of Medicine, the Virginia Tech Carilion Research Institute, the Virginia-Maryland College of Veterinary Medicine, the Virginia Tech Public Health Program, the School of Neuroscience, and the Department of Statistics.

Responsibilities

The successful applicant will create and maintain a nationally prominent research program focused on biostatistical methods and applications. As a founding member of the Data Analytics and Decision Sciences destination area (http://provost.vt.edu/destination-areas/da-data.html), he or she will develop and collaborate in transdisciplinary research with faculty and scientists from across campus, including the Virginia Tech Carilion Research Institute, the Virginia Tech School of Medicine, the Virginia-Maryland College of Veterinary Medicine and the Virginia Tech Public Health Program.

Expectations for this position include providing effective mentoring for postdocs and graduate students (and junior faculty in the case of senior applicants); teaching and advising a diverse population of undergraduate and graduate students; continuing development of professional capabilities and scholarly activities; curriculum development; participation in department, college, and university governance; and professional service. The faculty handbook (available at www.provost.vt.edu) provides a complete description of faculty responsibilities.

Required qualifications

Applicants must have a strong background in biostatistics; compelling promise for developing, or in the case of senior applicants continuing, a well-funded, internationally distinguished research program of methodological and collaborative research; demonstrated experience with and commitment to interdisciplinary and transdisciplinary research; a willingness to cross disciplinary boundaries to tackle complex scientific challenges; 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. Applicants must have earned a doctorate in a relevant discipline at the time of appointment.

Preferred qualifications

Preference will be given to senior candidates with a distinguished scholarly record of teaching and research in statistical methods applied in a medical or health context, a demonstrated track record of leadership in the development of biostatistics educational and research programs, and/or an interest in health analytics.

How to apply

Questions regarding the position can be directed to Professor Ron Fricker (rf@vt.edu), chair of the Faculty Search Committee and head of the Department of Statistics. Applications must be submitted online at http://listings.jobs.vt.edu (#TR0160168) and should include a cover letter, curriculum vitae, teaching statement, research plan, and contact information for at least three references. Review of applications will begin on November 1, 2017 and will continue until the position is filled. As part of the hiring process, the successful applicant must pass a criminal background check.

Virginia Tech is committed to a culturally and ethnically diverse campus environment and to principles that promote inclusive practices. Candidates are encouraged to address in their cover letters how their research, teaching, or service has prepared them to contribute to our commitment to diversity and inclusion in higher education. More information is available at www.inclusive.vt.edu/index.html.

Virginia Tech is an EO/AA university, and offers a wide range of networking and development opportunities to women and minorities in science and engineering. The university recognizes that meeting the needs of today’s professional couples is a key factor in recruiting and retaining new faculty and has established a dual career office to facilitate our commitment (www.hr.vt.edu/jobs/job_seeker/dualcareers/). The Department of Statistics offers a supportive environment, including a mentoring program to its junior faculty. Individuals with disabilities desiring accommodations in the application process should notify Ms. Betty Higginbotham, Department of Statistics, Tel: (540) 231-5657, Email: higgvt@vt.edu.

 

Collegiate Faculty (Multiple Openings)

Position Summary

Virginia Tech (www.vt.edu) has multiple faculty openings in the Department of Statistics (www.stat.vt.edu) to start Fall 2018 at our Blacksburg, VA campus. Appointment at the rank of collegiate assistant professor is preferred, but the associate level will be considered for exceptional candidates. These are full-time multi-year appointments (three years for assistant professors and five years for associate professors) with multi-year renewal upon successful review.

Responsibilities

We seek candidates who are passionate about teaching statistics to undergraduate and graduate students. Responsibilities include teaching three courses per semester, where successful candidates will:

  • make significant contributions to our instruction in statistics, which includes modern computationally-intensive and massive data methods, as well as data science and analytics more broadly;
  • coordinate introductory and service courses, engage in a variety of significantly growing statistics curricula across the university, and lead efforts in curriculum enhancements and innovative pedagogy;
  • continue to develop professional capabilities and participate in scholarly activities, including travel to and participation in professional conferences and societies; and,
  • participate in department, college, and university service and governance, as well as professional service.

The faculty handbook (available at http://www.provost.vt.edu) provides a complete description of faculty responsibilities.

These positions are part of a major emphasis on statistics, including computational modeling, data science and analytics, and empirical decision making at Virginia Tech. Successful applicants will have the opportunity to be key players in the creation of the university’s “Data Analytics and Decision Sciences” destination area and to teach in the Computational Modeling and Data Analytics program (www.science.vt.edu/ais/cmda/) within the College of Science’s Academy of Integrated Science and the School of Neuroscience (http://www.neuroscience.vt.edu/index.html).

Required Qualifications

Applicants must have a Ph.D. in Statistics, Biostatistics, or a related field, with a strong statistical emphasis, and have broad intellectual interests in statistics and statistics education along with a strong promise for being a leader in the instructional mission of the department. Applicants must have a strong background in statistics; 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.

Preferred Qualifications

Desirable characteristics include a record of pedagogical achievement and vision, creativity, and leadership skills relevant to instruction. Preference will be given to candidates with experience and demonstrated excellence in teaching experience, with a record of achievement as might be demonstrated by teaching awards, during a previous faculty appointment, or graduate teaching experience.

How to Apply

Questions regarding the position can be directed to Dr. Pang Du (vtstat_search2017@vt.edu). Applications must be submitted online at https://listings.jobs.vt.edu (postings #TR0160135 and #TR0170086) and should include a cover letter, CV, and a statement of teaching interests as previously described. Please include names, addresses, telephone numbers, and e-mail addresses for three or more references in the cover letter.

Virginia Tech is committed to a culturally and ethnically diverse campus environment and to principles that promote inclusive practices. Candidates are encouraged to address in their cover letters how their research, teaching, or service has prepared them to contribute to our commitment to diversity and inclusion in higher education. More information is available at http://www.inclusive.vt.edu/index.html

Applications will be accepted until the position is filled, but all applications received by November 1, 2017, will be guaranteed full consideration.

As part of the hiring process, the successful applicant must pass a criminal background check.

Virginia Tech is an EO/AA university, and offers a wide range of networking and development opportunities to women and minorities in science and engineering. The university recognizes that meeting the needs of today’s professional couples is a key factor in recruiting and retaining new faculty and has established a dual career office to facilitate our commitment (http://www.hr.vt.edu/jobs/job_seeker/dualcareers/). The Department of Statistics offers a supportive environment, including a mentoring program, to its junior faculty. Individuals with disabilities desiring accommodations in the application process should notify Ms. Betty Higginbotham, Department of Statistics, Tel: (540) 231-5657, Email: higgvt@vt.edu.

 

Instructor

Position Summary

Applications are invited for a full-time, non-tenure track instructor position in the Department of Statistics, starting in August 2018. Primary duties for this position are to teach a variety of statistics courses, assist with the coordination of multi-section introductory statistics courses, and serve as an academic advisor for undergraduate students. Continuing development of own professional capabilities and service on departmental, college, and/or university committees is expected. Participation in local, national and international statistical societies is encouraged, especially with regard to efforts in statistical education.

Required Qualifications

  • M.S. from an accredited university in Statistics or a related field
  • Teaching Experience

Preferred Qualifications

  • Demonstrated excellence in teaching with the use of modern pedagogical techniques

To be considered please send an email to higgvt@vt.edu for more information on how to apply.

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