Research Scientist (1-year contract), SCIS

HYPERSCAL SOLUTIONS PTE. LTD.; Singapore; On-site; SGD 120,000 - 190,000; Full time

Job summary

Singapore Management University seeks a highly skilled researcher to lead independent research in Operations Research, AI, and related areas within the SCIS project. You will formulate problems, develop methods, and empirically validate them with rigorous experimentation.

Applicants should have a PhD completed by start date, strong publication record, and solid programming skills. The role emphasizes translating research for policy and industry impact and mentoring students, with grant

Qualifications

• PhD completed by start date in Operations Research, Industrial Engineering, Computer Science, AI, Transportation or related field.
• Strong optimization background: integer/graph/queueing models; stochastic/robust/online optimization.
• Strong ML background: representation learning, time-series, probabilistic modeling, distribution shift.
• Proven research track record: publications and clear writing of contributions.
• Solid programming skills; proficient with AI tooling for research.

Responsibilities

• Lead and develop independent research directions: formulate problems, build methods, validate empirically.
• Publish findings in top journals/conferences in OR, AI and related fields.
• Disseminate outcomes through presentations and scholarly channels.
• Translate research into practice via engagement with policy/industry; mentor graduate and undergraduate researchers.
• Support grant management and project coordination.
• Other duties as assigned.

Skills

Optimization

Machine Learning

Publications

Programming

Independent Work

Communication

Collaboration

Reinforcement Learning

Reproducible Research

Transfer Learning

Education

PhD in OR/IE/CS/AI/Transportation

Job description

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)

Please note that your application will be sent to and reviewed by the direct employer - Singapore Management University