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Conduct research on cybercrime ecosystems and develop measurement-driven frameworks for detecting malicious infrastructures. Integrate LLMs with empirical data to enhance threat understanding and collaborate with industry partners to publish in premier security venues.
Requires a PhD in Computer Science, Cyber Security, or a related field with experience in threat intelligence and Internet security measurement. Proficiency in Python, C/C++, Java, and the application of LLMs to security tasks is expected.
We are seeking to appoint a Research Fellow who will contribute to NTU’s mission of advancing cybersecurity and trustworthy AI, with a focus on threat intelligence for underground ecosystems, large-scale Internet measurement, and AI-driven security analytics. With experience in analyzing cross-platform attack infrastructures, and developing measurement-driven threat intelligence systems, the candidate brings strong expertise in understanding emerging cybercrime activities at Internet scale. The role will support NTU’s strategic initiatives in cybercrime mitigation and intelligent security systems, while fostering collaborations with industry and government stakeholders to translate research into real-world impact.
Key responsibilities:
Conduct research on cybercrime ecosystems and resource abuse in large-scale Internet platforms, focusing on threat intelligence generation and security analytics.
Design and develop measurement-driven frameworks for detecting malicious infrastructures.
Explore methods for integrating large language models (LLMs) with empirical data analysis to enhance threat understanding, uncover emerging attack patterns and evaluate real-world security risks.
Collaborate with academic and industry partners on projects in cybercrime and AI threat intelligence.
Prepare and co-author high-quality research papers in premier venues (e.g., CCS, NDSS, USENIX Security).
Requirements:
A PhD degree in Computer Science, Cyber Security, or a related discipline.
Research or applied experience in cybercrime, threat intelligence, or Internet security measurement.
Experience in detection or analysis systems for cybercrime activities.
Familiarity with data-driven security methodologies, including large-scale data collection, empirical measurement, and attack pattern analysis.
Proficiency in programming languages such as Python, C/C++, and Java.
Experience with large language models (LLMs) applied to security tasks, such as threat detection or attack analysis.
We regret to inform that only shortlisted candidates will be notified.
Hiring Institution: NTUInspiring Learning, Transforming Teaching, Advancing Research.
The National Institute of Education (NIE), an autonomous institute of the Nanyang Technological University (NTU), Singapore is among the world's top education institutes, renowned for its excellence in teacher education and education research. Founded in 1950, NIE has played a pivotal role in developing Singapore's teaching workforce. In a dynamic education milieu, NIE prepares teachers with the requisite values, skills and knowledge to meet the continuous demands of diverse learners across the lifespan. The quality of our programmes is based on evidence-informed reviews and enhancement, and delivered with innovative pedagogies in digitally mediated learning spaces. Our degree, higher degree and professional development programmes offer global perspectives through international practice and semester exchanges, while 21st Century pedagogies, multidisciplinary curricula and service-learning initiatives help to develop the holistic reflective practitioner and school leader. Internationally, the NIE has gained a strong reputation as a thought leader in the field of education and education-related disciplines, and built strategic alliances with many other renowned institutions in the US, Europe and Asia Pacific regions. The Institute also offers the only local sports-related undergraduate degree programme in Sport Science & Management that provides academic and professional pathways to sports-related careers. Note: Posts containing profanity, hate speech, and offensive or inappropriate language and content will be deleted.
Offices: 1 Nanyang Walk, Singapore, Singapore 637616, SG
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