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

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 • This is for School 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. OTHER INFORMATION #LI-JN2 Please note that your application will be sent to and reviewed by the direct employer - Singapore Management University