Research Scientist

The Centre for Advanced Technologies in Online Safety (CATOS; was established in 2023 to host Singapore's Online Trust and Safety (OTS) Programme, a national research programme that leads the advancement of whole-of-nation technology capabilities to monitor and tackle online harms. The Systems Engineering Pillar of CATOS focuses on translational research and development, including evaluating, testing and integrating research output into needle-moving applications. One of the major outcomes will be a technological platform with an integrated suite of deep tech OTS engines, which analyses various internet sites and platforms for fast-trending harmful online content, such as non-factual claims, deepfakes, and hateful and toxic content. Different combinations of OTS engines can then be integrated and adapted to address the specific requirements of various stakeholders. This role will be responsible for applying data science, computational modelling, and social science theories to study, detect, and mitigate harmful behaviours across social media platforms. The candidate will work at the intersection of human behaviour, platform dynamics, and algorithmic governance to foster a safer and more inclusive online environment. The candidate will assume the following roles and responsibilities: Examine use cases of online trust and safety technologies, translating research findings into actionable insights that contribute to content moderation strategies, policy updates, and/or product design. Study innovative data sources and computational tools, develop models and metrics to detect and assess risks (e.g., coordinated inauthentic behaviour, abuse patterns, bot activity). Conduct quantitative and mixed-methods research to understand harmful behaviours (e.g., misinformation, hate speech, harassment, manipulation, etc.) and their spread on digital platforms. Collaborate with data scientists, policy experts, engineers, and product managers to inform and evaluate safety-related decisions. Stay current on academic and industry trends in trust and safety, online behaviour, and computational social science. JOB REQUIREMENT: A PhD degree in Computational Social Science / Societal Computing / Human Computer Interaction / Sociology / Political Science / Psychology / Economics, or related field with a strong quantitative component. Proficiency in data analysis using tools such as Python, R, SQL, or similar. Experience working with large-scale datasets, social network analysis, or NLP for social media data. Demonstrated ability to conduct independent research and publish or present findings. Strong understanding of causal inference, experimental design, and statistical modelling. Ability to communicate complex findings to non-technical stakeholders. Prior experience in trust and safety research is preferred. Good communication and interpersonal skills for working in a multicultural work environment. Candidates with no experience may apply. Our research and engineering work is highly interdisciplinary, agile, and pragmatic in nature. We expect everyone to take ownership of their role, responsibilities, and tasks. We encourage everyone to speak up when they have feedback or ideas for improvement. We provide honest feedback to one another, which can be tough at times, but it fosters rapid learning. We care about each other's professional growth and well-being. When applying, please share at least two representative research projects or publications that you have developed independently or contributed to significantly. Please note that only shortlisted candidates will be notified. The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.