About the role
Research Fellow (Computer Science/Cybersecurity/Artificial Intelligence) is a active engineering role at ntu in NTU Main Campus, Singapore. Open the role to review the official description and apply on the company site.
CompanyOnsite
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
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
- -scale data processing, signal analysis or real-world system deployment
- Proficiency in programming (e.g., Python) and ML frameworks (e.g., PyTorch, TensorFlow)
- , 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