We are looking for a highly-motivated research scientist to work on exciting projects in Cybersecurity (AI for Cybersecurity). Need Strong programming skills and familiarity with Cybersecurity and Artificial Intelligence. Successful candidates will have the opportunity to work with a worldclass interdisciplinary team comprising malware, networking, cybersecurity, machine learning, and deep learning experts. Research scientist will also work closely with industry partners and interact with them to understand their real-world needs.

The successful candidate will also engage in project scoping with industry companies to develop a solution to address cybersecurity enterprise application needs. We are looking for candidates with the following key soft attributes:

• Ability to learn

• Willingness to learn

• Strong interest in cybersecurity domain

Job Requirement

• PhD degree in Computer Science, Computer Engineering, Information Technology or related fields.

• Research expertise in one or more cybersecurity domains, such as phishing, software vulnerability, network security, etc.

• Strong foundation in Cybersecurity, system security, and AI-driven security techniques.

• Experience in Python frameworks for AI/LLM programming.

• At least 5 years of research or industry experience in related areas.

• Knowledge of new agentic AI frameworks and protocols.

• Publications in leading security / AI venues (e.g. USENIX Security, NDSS, IEEE S&P, ACM CCS, CVPR, ICML, ICLR, etc.) is a plus.

• Proficiency in deep learning frameworks (Python-based).

• Deep interest in the intersection of cybersecurity and AI.

• Ability to work independently, as well as in teams - highly desired.

• Ability and willingness to learn and adapt - highly desired.

• Good team player with both research and engineering ethics.

• Good interpersonal skills and communication skills for proposals, reports, and publications.

• Strong communication skills

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.