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全职 Research Scientist (1-year contract), SCIS 工作, 薪水, Singapore Management University 公司招聘中 - Ricebowl

Research Scientist (1-year contract), SCIS

Singapore Management University

全职

Singapore

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工作地点

  • Singapore

职位描述

岗位职责

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)

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