Sultan Qaboos University

Job Purpose 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: Bachelor’s or Master’s Degree in Cybersecurity, Information Security, or related fields from a recognized University. Industry certifications like OSCP, CISSP, or CEH are a plus. Experience: At least 5+ years of experience in security analyst, 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. 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. 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.

As a University of Applied Learning, Singapore Institute of Technology (SIT) works closely with industry partners to develop applied research capabilities that translate directly into real-world deployment. Our research staff are equipped with industry-relevant skills through hands-on work on operational research platforms and systems. The Future Ship and System Design (FSSD) programme aims to develop strategic and innovative design capabilities for the maritime industry in Singapore and globally. We are seeking a certified Power Electrical Engineer to design, analyse, and operate high-power and high-voltage electrical systems, ensuring safe, reliable, and compliant operation across our facilities. The candicate will work closely with the Principal Investigator (PI), Co-PI, and research team members to manage and execute the project, ensuring that all deliverables are successfully achieved. Key Competencies Design and review high-power electrical systems, including switchgear, transformers, generators, and protection schemes Perform power system studies such as load flow, short-circuit, and protection coordination Operate and control high-power or high-voltage equipment Lead testing, commissioning, and troubleshooting of electrical systems Ensure compliance with electrical safety rules, standards, and regulatory requirements Support maintenance planning, reliability improvement, and asset management Work independently, as well as within a team, to ensure proper operation and maintenance of equipment The employee is to communicate with any relevant internal or external stakeholders to ensure project deliverables are met. Any other adhoc duties assigned by supervisor. Job Requirements Bachelor’s degree in Electrical Engineering or equivalent Certification or authorisation to design and operate high-power or high-voltage electrical systems Minimum 2 years of relevant experience Key Competencies  Good knowledge in electrical equipment and power system design. Good knowledge in reliability analysis. Strong knowledge of HV and LV power systems and protection Experience with power system analysis tools Strong safety mindset and clear technical communication skills

Job Purpose: The primary responsibility of this role is to deliver on an industry innovation research project where you will be part of the research team to develop a Multimodal AI for Fire Detection & Safety Systems. Key Responsibilities:  Participate in and manage the research project with Principal Investigator (PI), Collaborator and the research team members to ensure all project deliverables are met. Undertake these responsibilities in the project: Develop and deploy multimodal AI algorithms for fire, smoke, and hot-work detection by fusing optical, thermal/infrared, LiDAR, RADAR, and gas sensor data under varying environmental conditions. Design computer vision and human-behavior analysis models for detecting personnel, posture, casualties, and hazardous situations, including operation in low-visibility scenarios. Implement scene mapping, environment perception, and path-planning algorithms using LiDAR and RADAR data to support evacuation guidance and first-responder navigation. Build real-time predictive models for fire intensity and spread forecasting and integrate LLM-based scene description and decision support into an end-to-end deployable system. Carry out Risk Assessment, and ensure compliance with Work, Safety and Health Regulations. Coordinate procurement and liaison with vendors/suppliers. Work independently, as well as within a team, to ensure proper operation and maintenance of equipment. Job Requirements Bachelor’s degree (minimum) in Electrical / Electronics Engineering, Computer Engineering, Computer Science, Robotics, or a closely related discipline, with foundational knowledge in signal processing and machine learning. Working knowledge of computer vision and deep learning concepts, including object detection and image-based classification, with hands-on experience using Python and at least one deep learning framework (e.g., PyTorch or TensorFlow). Basic experience handling and processing sensor data (e.g., camera, thermal, LiDAR, RADAR, or similar perception sensors) in real-world or laboratory settings. Familiarity with Linux-based development environments and standard software tools for data analysis, model training, and evaluation. Ability to independently implement, test, and document applied research solutions, with prior experience through projects, internships, or research assistantships considered sufficient. Prior experience in publishing is desirable.