Developing novel deep learning assisted algorithm for solving combinatorial optimization problems
Implementing traditional learning based and non-learning optimization algorithms
Collecting real-world dataset and testing the above algorithms for benchmarking
Writing paper for publication
Qualifications:
Minimum Bachelor\'s/Master\'s degree in Computer Science, or closely related disciplines from a reputable institution of higher learning
Minimum one year of relevant research experience in deep learning
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 software, such as Pytorch or Tensorflow is preferred
Excellent working knowledge of graph neural network and Transformer
Good analytical, technical and problem solving skills
Applicants with research publications in AI will be advantageous
Self-motivated individual who can work independently and also collaboratively with team members
Other Information:#LI-JN2About Us: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.