Skip to Main Content

Data Science Post doctoral Associate

Position Information

Position Information:

Working Title: Data Science Post doctoral Associate
Faculty Rank: Postdoctoral Associate
Posting Number: SR0160252
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:

Virginia Tech is looking for a Data Science Post Doctoral scholar in the Office of Academic Decision Support. The mission of the office is to promote and facilitate a culture of continuous improvement in the university by developing systems and providing solutions and analyses to support strategic and tactical decisions. The office promotes systematic reflection and effective policy, program, and resource planning by working collaboratively with university leadership, data stewards across campus, and other staff at all levels of the colleges, academic support, and student life units to provide solutions that support shared understandings of institutional data, helping them to achieve student and faculty success.

Responsibilities include

• Study, research, and develop advanced analytical models that provide insights required for efficient and effective organizational and institutional decision making.
• Develop creative visualization tools and libraries to help effectively communicate the analysis results and reports to the administrative and academic departments within Virginia Tech and higher education regulatory agencies.

Required Qualifications:

• PhD in Statistics, Operations Research, Mathematics, Computer Science, Physics or other quantitative discipline
• Expertise in data mining, machine learning, and mathematical optimization algorithms/techniques
• Strong applied and research skills in data-mining and applied machine learning and experience in developing innovative data solutions.
• Experience and expertise in exploratory data analysis. Expertise in developing data visualizations using open source libraries
• Experience and proficiency in Python, SAS or R
• Experience with relational databases and proficiency in SQL scripting
• Creative, Enthusiastic, Self-directed, and quick learner
• Effective written and oral communication skills

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

Interested candidates should apply online at (posting number SR0160252) and include a letter of application that addresses qualifications for and interest in the position along with a comprehensive curriculum vita, short statement of research interest and experience and contact information for three references. For further information, please contact Abhay Joshi, Director, Academic Data Analysis and Visualization,, 540-239-9781. Review of materials begins on May 4, 2017.

Employee Category: Research Faculty
Appointment Type: Restricted
If restricted or temporary, enter end date: 05/31/2018
FLSA Status: Exempt: Not eligible for overtime
Tenure Status: Non-Tenure Track
Academic Year or Calendar Year: Calendar Year
Percent Employment: Full-time
If part time, enter Percent Time:
Pay Band
Pay Range:
Department: Provost - Administration
Location: Blacksburg
Location, if not Blacksburg:
Location Zip Code: 24061
Job Posting Date: 04/20/2017
Review Begin Date: 05/04/2017
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.

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?
    • Chronicle of Higher Education - online
    • Chronicle of Higher Education - print
    • Higher Ed Jobs (
    • Higher Education Recruitment Consortium - HERC (
    • Diverse Jobs (
    • Insight Into Diversity (
    • Indeed (
    • Roanoke Times Online (
    • Commonwealth of Virginia Jobs (
    • Virginia Tech job site (
    • Facebook
    • LinkedIn
    • Twitter
    • Job Fair (please describe below)
    • Journal (please describe below)
    • Listserv (please describe below)
    • 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. Candidate Statement
Optional Documents