Research Fellow (Operations Research & Analytics)

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Fellow-%28Operations-Research-&-Analytics%29/31562-en_GB/?st=A1EB4462546BBD7BBD4C7B167E88910F04B970A2

We regret that only shortlisted candidates will be notified.

Role Summary:

• Lead and manage multi-stakeholder research projects in operations research, analytics, and optimization, including collaborations with NTUC FairPrice (Plug-in Flow Routing Optimization Engine; Store Friendly replenishment packing) and PSA (data analysis to improve efficiency in the container logistics ecosystem), as well as other industry and academic projects.
• Drive end-to-end project delivery—from problem framing and model formulation to implementation, evaluation, and dissemination—while coordinating milestones and deliverables with collaborators.

Key Responsibilities:

• Act as project manager for assigned projects, developing work plans, timelines, risk registers, and progress reports; ensure on-time delivery of milestones and industry-facing deliverables.
• Work closely with external collaborators (e.g., NTUC FairPrice, Store Friendly, PSA) and internal stakeholders to define objectives, align expectations, and translate operational needs into rigorous research questions.
• Design and formulate models for routing, packing, replenishment, scheduling, and network optimization; develop algorithms and decision-support tools using appropriate techniques (e.g., mathematical programming, stochastic optimization, simulation, machine learning).
• Lead data acquisition, cleaning, integration, and analysis; establish data pipelines and quality assurance processes; conduct experiments, benchmarking, and sensitivity analyses to validate models.
• Prototype and, where applicable, support pilot deployment of solutions; document methodologies, assumptions, reproducible workflows, and user guides.
• Prepare high-quality publications, technical reports, and presentations; contribute to dissemination through conferences, seminars, and industry briefings.
• Guide and mentor PhD students, research assistants, and interns; provide technical supervision, review work outputs, and foster a collaborative research culture.
• Coordinate compliance with NUS and partner data governance, ethics, and security requirements; manage project documentation and IP considerations in line with agreements.
• Contribute to grant proposals, project scoping, and resource planning; assist with budgeting and procurement related to project needs.
• Support broader IORA initiatives, including knowledge sharing, seminar organization, and collaborations across the University and with external partners

Requirements

• PhD in Industrial Engineering/Operations Research/Management Science (or closely related), with a strong research record in stochastic modeling and optimization.
• Hands-on experience solving real-world routing, packing, replenishment, scheduling, and network optimization problems.
• Proficiency with large-scale decision methods (e.g., approximate dynamic programming/rollout, primal–dual or penalty controls, Lagrangian decomposition/index policies, queueing/fluid models).
• Strong programming skills in Python and/or Java (MATLAB a plus), with experience in data pipelines, simulation/digital twins, and reproducible experimentation.
• Proven project management and industry collaboration experience, delivering milestones and translating operational needs into deployable solutions.
• Strong communication and mentorship: publications, technical reporting, presentations, and guidance of PhD students/RAs.