Research Fellow (Cybersecurity / Computer Science / Information Security /...

Nanyang Technological University; Singapore; On-site; SGD 70,000 - 100,000; Full time

Job summary

NTU Singapore invites applications for a Research Fellow to conduct research on LLM agent safety and secure authentication. The role involves developing runtime monitoring and behavioural evaluation techniques for LLM agents and investigating secure and usable authentication for intelligent devices.

You will design experiments, analyse results, prepare publications, and collaborate with the research team. A PhD in cybersecurity, computer science, or a related field is required.

Qualifications

• PhD in Cybersecurity, Computer Science, Information Security, Electronic or Communication Engineering, or a related discipline.
• Research background in LLM agent safety, runtime monitoring, biometric authentication or intelligent-device security.
• Familiarity with LLM agents and ability to implement prototypes and conduct rigorous experiments.
• Experience in biometric sensing or acoustic signal analysis would be an advantage.

Responsibilities

• Develop monitoring methods to detect malicious skill execution and unsafe or misaligned agent behaviour.
• Design experiments and prototypes to evaluate agent safety, task performance and monitoring overhead.
• Investigate biometric authentication for smartphones and wearable devices and evaluate security and usability.
• Analyse findings, prepare publications and project reports, as well as, collaborate with the research team.

Skills

LLM agent safety

Runtime monitoring

Biometric authentication

Experiments & evaluation

Education

PhD in Cybersecurity/CS/IS/Engineering

Job description

Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. We are seeking s seeking a Research Fellow to conduct research on LLM agent safety and secure authentication. The role involves developing runtime monitoring and behavioural evaluation techniques for LLM agents, and investigating secure and usable authentication for intelligent devices.

Job Responsibilities

• Develop monitoring methods to detect malicious skill execution and unsafe or misaligned agent behaviour.
• Design experiments and prototypes to evaluate agent safety, task performance and monitoring overhead.
• Investigate biometric authentication for smartphones and wearable devices and evaluate security and usability.
• Analyse findings, prepare publications and project reports, as well as, collaborate with the research team.

Job Requirements

• PhD in Cybersecurity, Computer Science, Information Security, Electronic or Communication Engineering, or a related discipline.
• Research background in LLM agent safety, runtime monitoring, biometric authentication or intelligent-device security.
• Familiarity with LLM agents and ability to implement prototypes and conduct rigorous experiments.
• Experience in biometric sensing or acoustic signal analysis would be an advantage.

We regret to inform that only shortlisted candidates will be notified.