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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.
Job Description
The candidate will be responsible for conducting research on non-universal quantum computers in finance. Successful candidate will be part of an active research team led by Prof Paul Griffin from School of Computing and Information Systems, Singapore Management University.
Candidate's core responsibilities are:
- Review classical and quantum approaches to stochastic Asset-Liability Management and Risk Parity Portfolio Construction
- Design the hybrid quantum/classical process flow
- Setup the development environment
- Develop and test the code
- Report on the results
- Other Duties as assigned
Qualifications
- Bachelor's or Master's degree in Computer Science or Finance with strong computational focus
- Proficiency in programming software/languages such as Python is required
- Proven track record and professional experience with classical optimization frameworks (e.g., CVXPY, Gurobi)
- Ability to break down complex problems and design effective solutions
- Familiarity with benchmarking experiments
- Innovating new approaches and thinking outside the box
- Applicants with research publications in computational science will be advantageous
- Ability to work cooperatively as part of a small, agile academic research team is essential
- Self-motivated individual who can work independently and collaboratively with team members
Other Information
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