Research Fellow (1-Year Contract), LKCSB - Part-Time

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 Lee Kong Chain School of Business (LKCSB).
• Lead the design and development of a modular simulation platform.
• Develop and implement simulation and optimization models.
• Translate healthcare system processes into scalable simulation architecture.
• Conduct literature review and integrate relevant research into model development.
• Support data integration, calibration, and validation using healthcare datasets
• Contribute to academic publications, reports, and conference presentations.
• Coordinate with collaborators from healthcare institutions and research partners.
• Guide development processes including Al-assisted coding and software implementation.
• Any other duties assigned.

• PhD in Operations Research, Industrial Engineering, Computer Science, Data Science, Analytics, or related quantitative disciplines.
• Strong programming skills in Python.
• Experience In simulation modelling (preferbaly discrete-event simulation).
• Strong software/system design capability (e.g., object-oriented programming, modular architecture).
• Familiarity with optimization and quantitative modelling.
• Strong analytical and problem-solving skills.
• Ability to contribute to academic writing and research publications.
• Ability to work independently and collaboratively in interdisciplinary research teams.
• Experience in healthcare analytics or healthcare operations research is an advantage.

#LI-KC1