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

Job description

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.