Research Fellow (Computer Science/Cybersecurity/Artificial Intelligence) at Nanyang Technological University Singapore

Singapore, , Singapore -

Full Time

Start Date

Immediate

Expiry Date

22 Jul, 26

Salary

0.0

Posted On

23 Apr, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Artificial Intelligence, Cybersecurity, Machine Learning, Python, PyTorch, TensorFlow, Explainable AI, Reinforcement Learning, Generative AI, Anomaly Detection, Incident Response, Containerization, Data Analysis, Agent-based Systems, Security Operations Centers, Wazuh

Industry

Education Administration Programs

Description

Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a leading college that is known for its excellent curriculum, outstanding and impactful research, and world-renowned faculty. A hot bed of cutting-edge technology and groundbreaking research, the College aims to groom the next generation of leaders, thinkers, and innovators to thrive in the digital age. Located in the heart of Asia, NTU’s College of Computing and Data Science is an ‘exciting place to learn and grow. We welcome you to join our community of faculty, students and alumni who are shaping the future of AI, Data Science and Computing. We are seeking for a highly motivated Research Fellow to drive cutting-edge research and development in AI-driven cybersecurity, focusing on intelligent and explainable automation for Security Operations Centers (SOCs). Key Responsibilities: Design and develop AI-driven, knowledge-based agentic systems for automated alert triage and investigation in SOC environments, contributing to the AutoSOC platform Build explainable AI models that integrate planning, memory, and learning capabilities Develop and optimize data-driven algorithms for anomaly detection and incident response Implement scalable, modular, and containerized solutions compatible with platforms such as Wazuh and MXOC Apply advanced machine learning techniques (e.g., reinforcement learning, generative AI, and interpretable AI) to enhance system adaptability and performance Collaborate with industry partners for system integration and validation Contribute to prototype development for commercialization Produce high-quality research outputs, including publications and technical reports Job Requirements: PhD in Computer Science, Cybersecurity, Artificial Intelligence or related fields Strong background in AI/ML, particularly in interpretable AI, generative models, reinforcement learning or agent-based systems Experience in large-scale data processing, signal analysis or real-world system deployment Proficiency in programming (e.g., Python) and ML frameworks (e.g., PyTorch, TensorFlow) Experience with edge deployment, system integration, or containerization is an advantage Strong publication record in reputable journals/conferences, with ability to conduct independent research Good communication skills and ability to work in a team with both academic and industry stakeholders Demonstrated ability in developing AI models for complex applications (e.g., healthcare AI, wearable systems, or intelligent platforms) We regret that only shortlisted candidates will be notified. Hiring Institution: NTU A research-intensive public university, Nanyang Technological University, Singapore (NTU Singapore) has 33,000 undergraduate and postgraduate students in the Engineering, Business, Science, Humanities, Arts, & Social Sciences, and Graduate colleges. It also has a medical school, the Lee Kong Chian School of Medicine, established jointly with Imperial College London. NTU is also home to world-class autonomous institutes – the National Institute of Education, S Rajaratnam School of International Studies, Earth Observatory of Singapore, and Singapore Centre for Environmental Life Sciences Engineering – and various leading research centres such as the Nanyang Environment & Water Research Institute (NEWRI) and Energy Research Institute @ NTU (ERI@N). Ranked amongst the world’s top universities by QS, NTU has also been named the world’s top young university for the past seven years. The University’s main campus is frequently listed among the Top 15 most beautiful university campuses in the world and has 57 Green Mark-certified (equivalent to LEED-certified) buildings, of which 95% are certified Green Mark Platinum. Apart from its main campus, NTU also has a campus in Novena, Singapore’s healthcare district. Under the NTU Smart Campus vision, the University harnesses the power of digital technology and tech-enabled solutions to support better learning and living experiences, the discovery of new knowledge, and the sustainability of resources. For more information, visit www.ntu.edu.sg About NIE About RSIS About LKCMedicine About NTUItive

Responsibilities

The Research Fellow will design and develop AI-driven agentic systems for automated alert triage and investigation within Security Operations Centers. They will also build explainable AI models and collaborate with industry partners to integrate and validate these solutions for commercialization.