We are seeking a colleague with formal quantitative training and a demonstrated interest in applying quantitative tools, techniques, and skills in manufacturing or business environments, as well as in linking our academic interests to real-world, private sector businesses in the following areas: data mining, statistical process control, analytical modelling, business intelligence, big data analytics, and statistical analysis, as they relate to the biomaterials and packaging industries.
The successful candidate will have demonstrated excellent teaching, including the ability to develop and teach several courses (undergraduate and/or graduate) in these areas. Demonstrated interest in aligning overall programming to real-world manufacturing/business environments is essential. We are seeking an individual who has the ability to better link our programming to the private sector, establishing strong partnerships that would result in research funding, graduate student research projects, undergraduate research projects, internships, and permanent employment for our students. Supervision of graduate students is expected. The appointment is approximately 50 percent research and 50 percent teaching. Service to the department, college, university, and professional societies and organizations is expected.
The ability to develop a strong, externally funded research program and publication record is essential for success at Virginia Tech. Applicants must provide evidence of the skills necessary to secure external funding and evidence of a research track focused on data analytics/decision science as applied to manufacturing/business intelligence. The specific research specialty is open, but preference will be given to candidates who can strengthen research collaborations at Virginia Tech through investigations and projects involving data-driven modeling and/or analysis of large/complex data sets.
Candidates must apply online at listings.jobs.vt.edu/.
Application materials should include the following information:
An official transcript for highest degree earned is required prior to the start of employment for the selected candidate.
Questions and inquiries may be addressed to Dr. Henry Quesada (email@example.com), chair of the search committee.
Application review will begin January 21, 2019, and continue until the position is filled. The start date for the position is no later than August 10, 2019.
The Institute for Operations Research and the Management Sciences
phone 1 443-757-3500
phone 2 800-4INFORMS (800-446-3676)