COMPANY DESCRIPTION
Singapore Management University is a place where high-level professionalism blends together with a healthy informality. The family-like atmosphere among the SMU community fosters a culture where employees work, plan, organise and play together - building a strong collegiality and morale within the university.
Our commitment to attract and retain talent is ongoing. We offer attractive benefits and welfare, competitive compensation packages, and generous professional development opportunities - all to meet the work-life needs of our staff. No wonder, then, that SMU continues to be given numerous awards and recognition for its human resource excellence.
RESPONSIBILITIES
- This position is for School of Computing and Information Systems (SCIS).
- Lead and develop independent research directions within the project, including problem formulation, methodological development, and empirical validation.
- Publish research findings in top-tier journals and conferences in Operations Research, AI, and related fields.
- Disseminate research outcomes through presentations and other scholarly channels.
- Contribute to translating research into practice through engagement with policy and industry stakeholders. Mentor graduate and undergraduate researchers involved in related projects.
- Support grant management and project coordination activities.
- Other duties as assigned.
- Applicants should indicate one or more areas of interest aligned with the following themes:
- Pillar 1: Supply Chain, Logistics, and Mobility Systems
- Human-centered demand forecasting and adaptive inventory management.
- Fairness-aware and multi-objective optimization for resource allocation.
- Multi-agent and human-machine collaboration in logistics and transportation systems.
- Pillar 2: Emergency Response and Crisis Management
- New paradigms for emergency responders and rescue systems.
- Transfer learning and diffusion-model learning for diffusion/spread processes.
- Human-centered contact tracing and crowd management.
- Pillar 3: Healthcare Operations and Policy
- Data-driven modeling of healthcare demand, capacity, and congestion.
- Design of operational policies under uncertainty (e.g., screening, triage, resource allocation).
- Integration of behavioral, clinical, and system-level considerations in healthcare delivery.
QUALIFICATIONS- PhD (completed by start-date) in Operations Research, Industrial Engineering, Computer Science, Artificial Intelligence, Transportation, Logistics, or a closely related field.
- Strong background in optimization (e.g., integer/combinatorial optimization, stochastic/robust/online optimization, network models, queueing systems, simulation-based optimization).
- Strong background in machine learning (e.g., representation learning, sequence/time-series modeling, probabilistic modeling, or learning under distribution shift).
- Proven research track record (publications, strong writing, ability to frame contributions clearly).
- Solid programming skills proficient in using AI tools for research.
- Ability to work independently, manage research milestones, and communicate effectively in a collaborative environment.
- Preference for candidate who has
- Experience with large-scale, constraint decision problems (e.g., operations, mobility, logistics, healthcare, or emergency response)
- Experience with multi-agent systems, multi-objective optimization, fairness-aware modeling, or human-centered decision-making approaches
- Experience with reinforcement learning, diffusion or spread models, explainable AI, transfer learning, or learning under non-stationarity or distribution shift
- Experience in developing reproducible research codebases (e.g., version control, experiment tracking, and documentation)
OTHER INFORMATION#LI-JN2
Please note that your application will be sent to and reviewed by the direct employer - Singapore Management University
