- North Bridge Road Downtown Core Central Region (Singapore) Singapore
Kerja Sepenuh Masa Research Scientist (1-year contract), SCIS, Gaji tinggi SGD 8,100 di HYPERSCAL SOLUTIONS PTE. LTD. Central Region (Singapore) - Maukerja
Research Scientist (1-year contract), SCIS
HYPERSCAL SOLUTIONS PTE. LTD.
Kongsi
Simpan
Lokasi Kerja
Penerangan Kerja
Tanggungjawab
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
RecruiterPal is a
cloud-based recruitment platform
that helps you to
recruit staff faster and easier,
giving you
full control and overview
of your entire recruitment process.
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
RecruiterPal is a
cloud-based recruitment platform
that helps you to
recruit staff faster and easier,
giving you
full control and overview
of your entire recruitment process.
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