The Professional Officers Division (POD) houses a centralized pool of academic staff under the Professional Officers scheme. Professional Officers come with specialised and deep technical skills acquired through extensive industry experience. They form the talent pool which brings a much-needed industry perspective to student learning. They facilitate applied learning and applied research in SIT, complementing the academic expertise of the faculty to bring industry practices and applications into the curriculum.

Professional Officers leverage on their industry experiences to create authentic learning environments, where discovery and innovation take place. They act as coaches and mentors to students during practical learning activities such as laboratory sessions, Capstone Projects and the Integrated Work Study Programme (IWSP). Professional Officers could also lead or work with faculty on industry innovation projects to provide solutions to the industry.

In addition to their role in applied learning and applied research, Professional Officers manage the centralised laboratory facilities and resources in SIT. With Technical Officers, laboratory safety professionals, and administrators in POD, they jointly develop central policies and processes for the safe and seamless operation of laboratories in SIT

Key Responsibilities

• Design and teach labs & practice modules.
• Mentor students in Capstone Projects and the Integrated Work Study Programme (IWSP).
• Lead or co-lead innovation projects with industry.
• Manage labs and equipment to support academic programmes and applied research.
• Ensure safety in labs.

Job Requirements

Education & Certifications:

• A degree in Cybersecurity, Data Science, AI, Engineering, or related fields from a recognized University.
• A Master’s degree or a major in Information Security is preferred.
• Industry certifications like OSCP, CISSP, or CEH are a plus.

Experience:

• At least 5+ years of experience in data science, preferably with exposure to cybersecurity applications.
• Proven experience as a Certified Security Analyst or in a related role, with a strong understanding of industry best practices, cybersecurity frameworks, IoT Security, OT Security, and Mobile Security.
• Strong understanding of cryptography, including symmetric and asymmetric cryptographic primitives, protocols, and PQC.
• Experience with adversarial machine learning techniques and defenses.
• Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch).
• Experience with Cloud services (AWS, Azure, Google) or big data technologies.
• Clear understanding of information security principles and the cyber technology landscape.
• Ability to develop and enforce security policies, conduct security awareness training, and stay updated on emerging cyber threats and hacker methodologies.
• Experience in developing and enhancing frameworks or standard operating procedures (SOPs) for handling cybersecurity incidents in different industries.
• Ability to review and improve security controls, such as SCA, SAST, DAST, IAST, RASP, Secrets Scanning, Container Scanning, Misconfiguration Identification, Secure Code Review, CI/CD Pipeline Security, and Deployment Environment Security.

Soft Skills & Mindset:

• Passionate about cybersecurity, technically hands-on, willing to learn, and curious about the inner workings of Enterprise/OT/Telecommunications technologies and exploiting their vulnerabilities.
• Strong interest in supporting research and academic projects, with the ability to adopt and manage new security technologies.
• Willingness to pursue professional certifications in cybersecurity governance, such as CISSP, OSCP, CSSP (Industry certifications are an added advantage).
• Actively participate in cybersecurity-related projects or organizations, such as CSIRT (Computer Security Incident Response Team), ISACA, or ISC2.