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
- Developing novel deep learning assisted generalizable algorithm for solving combinatorial optimization
- Implementing traditional optimization algorithms
- Collecting real-world dataset and testing the above algorithms for benchmarking
- Writing paper for publication.
- Minimum Bachelor's/Master's degree in Computer Science, Information Technology, Information Systems or closely related disciplines from a reputable institution of higher learning
- Minimum one year of relevant research experience in deep learning or operations research
- Proficiency in programming languages such as Python is required
- Demonstrated experience and know-how on solving combinatorial optimization problem
- Experience with at least one programming tools, such as Pytorch or Tensorflow is preferred
- Excellent working knowledge of deep learning or operations research (OR)
- Good analytical, technical and problem solving skills
- Applicants with strong publications in AI or OR area will be advantageous
- Self-motivated individual who can work independently and also collaboratively with team members
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Please note that your application will be sent to and reviewed by the direct employer - Singapore Management University
