Ph.D. Student in SSRS Lab: The University of Missouri is seeking one highly self-motivated Ph.D. student to join the SSRS Lab in the Department of Industrial and Systems Engineering. The selected candidate will engage in groundbreaking research focusing on Large-Scale Stochastic Optimization or Agent-based Simulation, with a fully funded position encompassing research and teaching assistantships.
Designation
Ph.D. Student
Research Area
- Large-Scale Stochastic Optimization
- Agent-based Simulation
Location
University of Missouri
Eligibility/Qualification
- An M.S. in Industrial and Systems Engineering, Operations Research, Computer Science/Engineering, Transportation Engineering, Statistics, Mathematics, or related fields.
- Experience in writing and presenting academic research, including peer-reviewed journal/conference papers or an M.S. thesis.
- Strong programming skills in languages/environments such as CPLEX, GAMS, Gurobi, AMPL, Python, R, MATLAB, or AnyLogic.
- A solid understanding of stochastic optimization or simulation methods.
Job Description
The Ph.D. student will contribute to research projects within the SSRS Lab, focusing on developing methods and tools for large-scale stochastic optimization and simulation. Responsibilities will include conducting literature reviews, performing simulations, analyzing data, and disseminating research findings through publications and presentations.
How to Apply
Interested candidates should complete the following survey: Application Survey.
Last Date to Apply
Monday, December 1, 2025
Note: Review of applicants will begin immediately and will continue until the position is filled.
