A Research Fellow position is currently available in the School of Physical and Mathematical Sciences (SPMS) with a focus on robust optimization and procurement management. The incumbent will be encouraged to pursue his or her own, and newly arising, applications using a data-driven robust optimization approach.

The College of Science seeks a diverse and inclusive workforce and is committed to equality of opportunity. We welcome applications from all and recruit on the basis of merit, regardless of age, race, gender, religion, marital status and family responsibilities, or disability.

Key Responsibilities:

• Conducting research on robust optimization for material procurement management problem

• Developing collaboration with other research teams, public agents and particularly industry partners

• Provide basic administrative support

Job Requirements:

• Ph.D. in Operations Research, Mathematical Optimization, Industrial Engineering, or a related field, before the anticipated start date of June 1, 2024

• Expertise in at least one of the areas of convex optimization, robust optimization and supply chain management

• Strong coding skills (one or more of R, Julia or Python) and experience using one or more commercial optimization solvers

We regret to inform that only shortlisted candidates will be notified.