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).
- Develop analytical and computational models of electric vehicle business models.
- Develop learning algorithms to optimize the operations of such business models.
- Support the design and execution of a field pilot, including research protocols, participant recruitment, scheduling, monitoring, and data collection.
- Coordinate research activities with the Pl, project collaborators, participating drivers, site hosts, and technical partners.
- Develop and maintain reproducible code and research datasets ensure data quality, confidentiality, and compliance with applicable research requirements.
- Conduct quantitative analyses and prepare journal manuscripts, conference presentations, progress reports, and grant deliverables.
QUALIFICATIONS- PhD in Operations Management, Operations Research, Industrial Engineering, Management Science, Computer Science, Data Science, Applied Mathematics, Economics, or a related quantitative discipline, completed by the appointment date.
- Demonstrated research experience in stochastic or dynamic optimization, online learning or sequential decision-making, matching models, or closely related areas.
- Experience in EVN2X, energy systems, sustainable operations, or analysis of pilot or field data is advantageous.
- Strong skills in mathematical modelling, stochastic optimization, dynamic programming, and online learning algorithms familiarity with sequential decision-making, multi-armed bandits, Thompson sampling, spatial matching, machine learning, and statistical data analysis.
- Ability to formulate and analyse stochastic models, derive structural properties, and develop scalable algorithms proficiency in at least one scientific programming language (e.g., Python, MATLAB, Mathematica, Julia, or R).
- Ability to maintain reproducible code and conduct rigorous numerical studies strong academic writing, communication, and collaboration skills.
OTHER INFORMATION#LI-JN2
Please note that your application will be sent to and reviewed by the direct employer - Singapore Management University
