About this role
The School of Physical and Mathematical Sciences (SPMS) at NTU is a research-intensive school encompassing mathematics, physics, and chemistry, with strong emphasis on interdisciplinary research and real-world impact.
SPMS is seeking to hire a Research Assistant to advance robust optimization methods for urban drone logistics.
Key Responsibilities:
• The Research Assistant will develop distributionally robust optimization (DRO) models that account for data uncertainty and quality degradation in demand forecasting and fleet scheduling.
• The Research Assistant will also design scalable solution algorithms and validate findings through computational studies, with the goal of publishing in leading operations research and management science journals.
Job Requirements:
• Candidates must hold a Bachelor in Mathematics, Operations Research, Engineering, or a related quantitative discipline.
• A strong foundation in stochastic or distributionally robust optimization is required.
• Proficiency in Python with experience in solvers such as Gurobi or CPLEX, is required.
We regret to inform that only shortlisted candidates will be notified.
Hiring Institution: NTU