Project Description

The Schools of Engineering Education and Aeronautics and Astronautics at Purdue University are collaborating on a research project to develop policy innovations to enhance the STEM talent workforce. We invite applications for a postdoctoral research scholar to work with Drs. Joyce Main and Dan DeLaurentis to help conduct research related to the educational pathways of science, technology, engineering, and mathematics (STEM) students from K-12 to postgraduate studies. In addition to modeling STEM students’ educational paths, this project will focus on entry into STEM careers to identify critical policy and programmatic levers to increase the STEM workforce.

Start Date

Summer/Fall 2022

Postdoctoral Qualifications

Required qualifications include: (1) PhD in Engineering, Engineering Education, Economics, Statistics, Computer Science, STEM Education, Education, or related fields; (2) expertise in quantitative research methods and data analytics; and (3) ability to work both independently and collaboratively.

Co-Advisors

Joyce Main, Engineering Education
Dan DeLaurentis, Aeronautics and Astronautics

Bibliography

Darolia, R., Koedel, C., Main, J.B., Ndashimye, J.F. & Yan, J. (2020). High school course access and postsecondary STEM enrollment and attainment. Educational Evaluation and Policy Analysis, 42(1): 22-45.

Thekinen, J. D., Moolchandani, K., Panchal, J. H., and DeLaurentis, D. A., "Modeling Airlines' Route Selection Decisions Under Competition: A Discrete-Games-Based Model", AIAA Journal of Air Transportation, Vol. 28, No. 1, Jan 2020.
DOI: 10.2514/1.D0153

Kolawole O., Bilionis, I., and DeLaurentis, D.,"Exploratory Data Analysis for Airline Disruption Management", Machine Learning with Applications, Vol. 6, 2021,100102.
DOI: 10.1016/j.mlwa.2021.100102

Borner, K. Rouse, W.B., Trunfio, P., & Stanley, H.E., (2018). Forecasting innovations in science, technology, and education. Proceedings of the National Academy of Sciences, 115 (50), 12573-12581.

Rouse, W.B., Lombardi, J.V, & Craig, D.D. (2018). Modeling research universities: Predicting probable futures of public vs. private and large vs. small research universities. Proceedings of the National Academy of Sciences, 115 (50), 12582-12589.