Research Fellow
2 weeks ago
The candidate will be responsible for conducting research on creating and training general-purpose log sequence LLMs. Successful candidate will be part of an active research team led by the PI and co-PIs of the project from School of Computing and Information Systems, Singapore Management University.
- To process and handle publicly available log datasets.
- To develop and design approaches for training general-purpose LLMs for log sequence analysis.
- To perform large-scale empirical evaluation on the designed approaches.
- To write research reports and papers on the obtained models and results.
- To work with other team members hired for the same project.
- Other duties as assigned.
Qualifications
- Doctoral degree in computer science, information technology, or closely related disciplines from an institution of higher learning, with a focus on machine learning or data science
- Past research experience on adaptation or training of foundation models preferred
- Demonstrated experience and know-how on machine learning and large language models
- Excellent publication track records at top-tier AI/ML/cybersecurity venues
- Good analytical, technical and problem-solving skills
- Self-motivated individual who can work independently and also collaboratively with team members
Other Information
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