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
- Review literatures on hidden graph analysis
- Implement baseline methods for LLM-based graph processing using hidden graph methods
- Develop new methods using graph compression techniques on the problem
- Publish on top-tier data management/data mining venues.
- Minimum PhD degree in Computer Science, Information Technology, Information Systems or closely related disciplines from a reputable institution of higher learning
- Minimum 4 years of relevant research experience in graph processing
- Proficiency in programming software/languages such as C++ and Python will be positively considered
- Demonstrated experience and know-how on LLM-prompting techniques.
- Experience with CUDA is preferred
- Excellent working knowledge of graph processing and algorithm analysis.
- Good analytical, technical and problem-solving skills
- Applicants with research publications in machine learning area will be advantageous
- Self-motivated individual who can work independently and also collaboratively with team members
#LI-JN2
Please note that your application will be sent to and reviewed by the direct employer - Singapore Management University
