Academic Staff in Operational Technology, Cybersecurity

Our client, a public University, is seeking Academic Staff positions in Operational Technology (OT) Cybersecurity. The University is building a distinctive capability at the intersection of cybersecurity, engineering systems, critical infrastructure, and applied learning. They welcome outstanding candidates who can help strengthen its capability in OT cybersecurity and who can work with real engineering systems, brownfield environments, cyber-physical operations, and industry partners. Appointment may be made at a rank aligned with experience and profile.

Academic Staff positions comprise both Faculty and Professional Officers. They play distinctive yet complementary roles in advancing the University's mission in education and applied research. Faculty provide academic leadership in the design, delivery, and continual enhancement of programmes, ensuring academic rigour and industry relevance, while Professional Officers, as technical specialists, embed current and emerging industry practices and support practice-oriented delivery. Together, they strengthen the University's applied learning environment through hands-on, real-world approaches that enhance students' industry readiness. In applied research, Faculty lead translational research and innovation in collaboration with industry, bridging knowledge creation with practical application, while Professional Officers contribute deep technical expertise and industry experience to translate concepts into implementation, prototyping, and deployment, thereby ensuring impactful and industry-relevant outcomes.

Students learn in authentic environments, work on real problems with external partners, and undertake substantial workplace learning through an Integrated Work Study Programme. The University's approach to education is explicitly competency-based, with a focus on demonstrated capability, workplace relevance, and flexible pathways for learners.

The campus is a testbed for the systems around which this role is built. It runs on Singapore's first Multi-Energy Microgrid (MEMG), which is the largest microgrid in Singapore and the first MEMG on a university campus in Southeast Asia. The MEMG was built and is operated with SP Group, integrating solar PV, thermal, and distributed energy resources into a live, sandbox-grade environment for energy transition research. The campus also houses the Energy Efficiency Technology Centre (EETC), established with the National Environment Agency, whose Energy Efficiency Training Facility is a first-of-its-kind integrated industrial systems plant in Singapore—giving staff and students a working industrial process environment for development, applied research, and hands-on training.

In parallel, the University works closely with the maritime ecosystem on decarbonisation and digitalisation. Through its Future Ship and System Design Programme and partnerships with DNV's Maritime Decarbonisation & Autonomy Regional Centre of Excellence, Seatrium's Offshore & Marine Digital Learning Lab, RINA, and MPA-linked initiatives, the University engages directly with shipowners, yards, classification societies, and regulators on zero-emission and autonomous vessels, shore charging and future-fuel bunkering, digital twins, and AI-enabled remote operations. Taken together, these platforms, the deep industry partnership network across the energy and maritime sectors, and next-generation AI and robotics use cases provide an exciting ecosystem of real assets, operators, and operational problems to which security, resilience, and safe-operation research can be applied, tested, and translated into practice.

At the University, strong teaching means building learning experiences that are hands-on, rigorous, and close to practice. In OT cybersecurity, this may include secure architecture and deployment exercises, brownfield hardening projects, industrial protocol analysis, controller and embedded-system security labs, OT visibility and asset discovery activities, incident response simulations, resilience and recovery exercises, or projects shaped by real operational, safety, and engineering constraints. The educational model values authenticity, workplace relevance, and the ability to assess whether learners can perform, not only whether they can recall.

You should be able to contribute to curriculum design, develop modern teaching materials, mentor students effectively, and work with colleagues to improve programmes over time. Experience with applied learning, competency-based education, workplace learning, engineering education, or industry-based training will be valuable.

Candidates will be able to leverage the campus, laboratories, and industry partnerships to create realistic learning and experimentation platforms where secure engineering systems, production-informed validation, and operational resilience can be taught, tested, and translated. The strongest candidates will connect technical cybersecurity depth with operational and domain relevance and work across engineering, cybersecurity, safety, operations, and management domains.

The University values scholarship that moves beyond publication alone. It is interested in research and scholarly work that can be tested, translated, adopted, or used to solve real problems. In OT cybersecurity, this may take different forms: applied research with infrastructure operators or engineering partners; translational work that leads to methods, tools, datasets, validation approaches, or deployable capabilities; practice-based scholarship grounded in operational experience; sector-facing evaluations; or interdisciplinary work that brings cybersecurity into real systems and real environments. Relevant themes may include secure brownfield modernisation, OT systems-of-systems validation, resilience and recovery under cyber disruption, safe use of operational data, dependency and criticality mapping, engineering-informed risk assessment, and consequence-aware incident response. The strongest candidates will demonstrate a clear line of sight between their expertise and tangible external value.