Eastern Connecticut State University

Schemes of Service: Faculty Division: Infocomm Technology Employment Type: Permanent, Fixed Term Singapore Institute of Technology (SIT) invites applications for Academic Staff positions in Cybersecurity. We are building a modern cybersecurity capability that brings together applied learning, competency-based education, translational research, and close partnership with industry. We welcome outstanding candidates across the breadth of cybersecurity, and we are especially interested in colleagues who can help SIT build stronger capability in Threat Operations. Appointment may be made at a rank aligned with experience and profile. Academic Staff positions in SIT comprises of both Faculty and Professional Officers. They play distinctive yet complementary roles in advancing SIT’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 SIT’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. Why join SIT SIT is Singapore’s first University of Applied Learning and the University for Industry. Our students learn in authentic environments, work on real problems with external partners, and undertake substantial workplace learning through the Integrated Work Study Programme. Our approach to education is explicitly competency-based, with a focus on demonstrated capability, workplace relevance, and flexible pathways for learners. At SIT, we welcome both academic candidates, and practitioner-academics with substantial industry, government, or operational cybersecurity experience. Candidates should be able to translate their expertise into rigorous teaching, authentic learning experiences, applied scholarship, translational work, and industry relevant outcomes and impact. Areas of interest in cybersecurity We welcome applicants with expertise in one or more areas across the cybersecurity spectrum, and are especially interested in candidates whose work can strengthen the university’s capability in Threat Operations. Relevant areas include threat detection and analysis, threat hunting, technical investigations, incident response, adversary tradecraft, operational threat intelligence, security operations, and detection engineering. We also welcome applicants working in areas that strengthen operational cyber defence, such as purple teaming, red teaming, AI for security, security automation, adversary emulation, and cyber range or validation environments. Applications from outstanding candidates across the wider cybersecurity spectrum remain strongly welcome. Key Responsibilities You will contribute to SIT’s mission through a combination of teaching, curriculum development, applied scholarship, and external engagement in the area of cybersecurity. Depending on rank and profile, responsibilities may include teaching undergraduate, postgraduate, and continuing education learners designing modules, labs, case-based learning, and authentic assessments supervising capstone projects, industry-linked projects, and graduate students where appropriate contributing to programme development across pre-employment and continuing education offerings building applied research, translational work, or practice-based scholarship with external relevance developing partnerships with industry, government, and professional communities contributing to interdisciplinary initiatives across computing, engineering, AI, and other applied domains Teaching and educational contributions At SIT, strong teaching means building learning experiences that are hands-on, rigorous, and close to practice. That may include secure system design projects, digital forensics investigations, threat-hunting exercises, red-blue or purple-team style activities, malware analysis labs, incident response simulations, or projects shaped by real operational and sectoral constraints. Our 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 well, and work with colleagues to improve programmes over time. Experience with applied learning, competency-based education, workplace learning, or industry-based training will be valuable. Research / scholarly / translational contributions SIT values scholarship that moves beyond publication alone. We are interested in research and scholarly work that can be tested, translated, adopted, or used to solve real problems. This may take different forms: applied research with industry or government; translational work that leads to methods, tools, datasets, 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. The strongest candidates will show a clear line of sight between their expertise and tangible external value. Candidate profile / qualifications We welcome applications from candidates with strong academic, applied, or practice-oriented profiles. You should have Doctorate or a Master’s degree (with substantial and credible industry achievement) in cybersecurity, computer science, computer engineering, information security, or a closely related field expertise in one or more cybersecurity domains relevant to this search demonstrated teaching excellence, or relevant experience in industry-based education and training demonstrated evidence in translating your expertise into authentic learning experiences and useful external outcomes and impact a strong interest in student learning and engagement, and keen to adopt flipped classroom methods, team-based learning, and authentic assessments for learning strong communication skills and a collaborative mindset interest in working across disciplines and with external partners The following will strengthen an application experience in industry, government, or operational cybersecurity environments professional certifications or recognised practice credentials experience with applied or competency-based education a track record in translational research, practice-led scholarship, or industry-linked innovation for candidates at the levels of Associate Professor / Professor, the ability to lead programmes, mentor colleagues, and help shape institutional capability Application Submission Applications will be accepted until the position is filled. All applications must be submitted electronically through the SIT careers website using the Apply Now button. As part of your application, please submit the following materials cover letter curriculum vitae research, scholarship, or applied practice statement teaching statement Questions about this opportunity may be directed to the Cybersecurity Search Committee Chair at SIT_cybersecurity_academic@singaporetech.edu.sg. Only shortlisted candidates will be contacted.

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.

FACULTY OPENINGS AT THE SINGAPORE INSTITUTE OF TECHNOLOGY The Singapore Institute of Technology (SIT) is Singapore’s first University of Applied Learning, offering industry-relevant degree programmes that prepare its graduates to be work- and future-ready professionals. Its mission is to maximise the potential of its learners and to innovate with industry, through an integrated applied learning and research approach, so as to contribute to the economy and society. The university’s unique pedagogy integrates work and study, embracing authentic learning in a real-world environment through collaborations with key strategic partners. Its focus on applied research with business impact is aimed at helping industry innovate and grow. SIT’s centralised campus within the larger Punggol Digital District will feature a vibrant learning environment where academia and industry will be tightly integrated with the community. SIT espouses an applied learning approach and offers degrees with a strong focus on science and technology. Our faculty work closely with industry on translational research and innovation, as well as provide consultancy on solutions to industry challenges. This well-established nexus with industry endows our graduates with deep skills and work-ready training experience – attuning them to the needs and demands of the future economy. SIT is also establishing strategic live test beds known as ‘Living Labs’ both within and beyond its upcoming Punggol campus to support greater experiential learning and strengthen its applied research offerings. The university’s pool of Engineering experts works with multi-disciplinary teams to drive strategic translational research in key areas such as energy resilience, sustainable infrastructure engineering and maintenance, and maritime engineering. As a young university, we encourage innovation and seek the right candidates to join us in realising our vision into an increasingly vibrant reality. We offer competitive remuneration, generous employment benefits, access to funding to undertake research of relevance to industry, and opportunities to inspire and nurture the next generation of skilled and work-ready undergraduates. For this faculty position, we are looking for candidates with an engineering background, who have extensive experience in the area of digital supply chain. Essential Academic and/or industrial experience in design and managing digital supply chain solutioning and supply chain management. Having a background and interest in one or more fields of digital supply chain, including but not limited to digital supply chain transformation, digital manufacturing, E-procurement, E-commerce, E-logistics. Experience and knowledgeable in one or more areas of supply chain operations management, risk management and operations research, such as demand forecasting, inventory control, procurement, manufacturing, distribution, warehouse and transportation simulation, optimization and management. Motivated to develop and to teach curriculum in supply chain sustainability. Strong demonstration of interest to develop supply chain security, supply chain digital twin, and artificial intelligence solutions through applied research projects. Desirable Good knowledge in digital supply chain-related technologies such as AI, LLMs, Cyber Security, IoT, 3D printing, automation, supply chain security, digital twins, and block chains. Hands on experience in commercial digital supply chain solutioning projects with both hardware and software elements. Experience in digital supply chain related projects with strong integration of the three pillars, i.e., Digitalization, Resilience and Agility, and Green Supply Chain. Preferred to having a PhD in a related technical area. Led or involved in strong industry - academia partnership projects. Successful candidates will join the Engineering (ENG) Cluster (one of five academic clusters in SIT), as members of a team of accomplished experts who are passionate about higher education and deeply involved in industry transformation through applied research programmes. Applications will be accepted until the positions are filled. All applications must be submitted electronically via the "Apply Now" button below.