Research Scientist (7-month contract or till 31 March 2027), SCIS

Job Description

• This is forSchool of Computing and Information Systems (SCIS).
• To process and handle publicly available anomaly detection datasets.
• To develop and design approaches for training anomaly detection foundation models.
• 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.

Qualifications

• Bachelor's/master's degree in computer science, Information Technology, Information Systems or closely related disciplines.
• PhD candidates in machine learning or data science.
• Past research experience on relational data learning and training generalist models preferred.
• Proven track record and professional experience in relational data learning and foundation models.
• Demonstrated experience and know-how on machine learning.
• Ability to break down complex problems and design effective solutions.
• Innovating new approaches and thinking outside the box.
• Applicants with research publications at top venues (e.g., NeurIPS, ICML, ICLR, KDD, AAAI, CVPR) in anomaly detection area 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.

• This is forSchool of Computing and Information Systems (SCIS).
• To process and handle publicly available anomaly detection datasets.
• To develop and design approaches for training anomaly detection foundation models.
• 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.