Department of Industrial and Systems Engineering
|Background of Organization
|| Virginia Tech takes a hands-on, engaging approach to education, preparing scholars to be leaders in their fields and communities. As the commonwealth’s most comprehensive university and its leading research institution, Virginia Tech offers 240 undergraduate and graduate degree programs to more than 31,000 students and manages a research portfolio of more than $513 million. The university fulfills its land-grant mission of transforming knowledge to practice through technological leadership and by fueling economic growth and job creation locally, regionally, and across Virginia.
Through a combination of its three missions of learning, discovery, and engagement, Virginia Tech continually strives to accomplish the charge of its motto Ut Prosim (That I May Serve).
|| 250 Durham Hall (MC 0118) 1145 Perry Street, Blacksburg, VA 24061
|Contact phone, fax and/or email
||The job is available at Virginia Tech, Department of Industrial and Systems Engineering, at the Blacksburg
campus. The researcher will work under the supervision of Professor Navid Ghaffarzadegan (mailto:firstname.lastname@example.org) at Virginia Tech.
|| The postdoctoral associate will serve on several projects on modeling the science workforce and related science policy
problems. These are part of an established research effort funded by the National Institutes of Health http://www.navidg.com/swm.htm.
The research is conducted with faculty from the Ohio State University, Virginia Tech, and MIT. The postdoctoral associate would be assisting
with data analysis and dynamic modeling, focusing on analysis of statistical data from sample surveys and administrative records, as well as
supporting the development and improvement of several simulation models. The individual will also be responsible for writing grant documents,
including reports and publications.
25% Prepare data from NSF and other administrative files for use with simulation models. Data preparation will include loading data,
merging files from complex panel data, conducting regression and other statistical procedures, preparing files for use with modeling software.
40% Design and build system dynamics, agent based, and statistical models of the science workforce.
Building these models will require significant mathematical modeling, programming, and data analysis, in addition to constructing datasets and
20% Write reports, publications, and presentations in collaboration with larger team of staff and researchers. Manage and supervise a team
of PhD and Master’s students.
15% Duties as assigned.
|| The incumbent will have a PhD in either Economics, Sociology, Psychology, Public Policy, Policy Informatics,
Management, Industrial and System Engineering, or a related field that includes expertise in dynamic modeling of social systems.
There is a strong preference for someone with both a social science background and dynamic modeling expertise. Formal training in either
System Dynamics and/or Agent Based Modeling is a plus. Moreover, experience working on academic research teams, publishing scientific
results in health and/or science policy issues would be a distinct advantage.
|URL to host organization
Last edited by CS -
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