Charles Darwin University

About the University As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT. The Role We are seeking a highly motivated and talented Research Fellow to join an exciting industry-funded applied research project within the Infocomm Technology cluster at SIT. This project addresses the critical challenge of enabling ultra-reliable low-latency communications (URLLC) with priority-aware offloading for public safety services. The successful candidate will be responsible for the end-to-end investigation of novel edge-assisted computation offloading strategies that leverages edge intelligence. The role will bridge rigorous theoretical work with hands-on offloading algorithm design and development. The core responsibility is to build and validate these offloading strategies, complete with Python application programming interfaces (APIs), through rigorous simulations and proof-of-concept (PoC) trials. This position is ideal for a researcher with a passion for solving complex problems at the intersection of wireless communications, edge computing, and machine learning, and who is eager to translate theoretical insights into practical systems. Key Responsibilities Derive and analyse closed-form mathematical expressions for latency and offloading probabilities across edge-only, cloud-only, and edge-cloud computation offloading algorithms. Design and develop robust Python APIs for edge-only, cloud-only, and edge-cloud computation offloading algorithms. Set up network testbeds integrating hardware, software, and communication protocols to validate edge-only, cloud-only, and edge-cloud computation offloading algorithms. Conduct rigorous simulations and live PoC trials to ensure computation offloading algorithms meets URLLC targets for public safety services. Participate in and manage the research project with Principal Investigator (PI) to ensure all project deliverables are met. Job Requirements A Ph.D./Master’s degree in Computer Engineering, Communications Engineering, Computer Science, or a highly related discipline. A strong theoretical foundation and research background in wireless communications and edge computing. Strong publication track record in top-tier conferences and journals in the areas of wireless communications, IoT, or edge computing. Demonstrated proficiency in software API and algorithm development of edge intelligence algorithms using Python. Knowledge of machine learning or reinforcement learning techniques is highly advantageous. Experience with theoretical wireless network modelling, particularly stochastic geometry or queuing theory, is highly advantageous.

As a University of Applied Learning, the Singapore Institute of Technology (SIT) works closely with industry in its research pursuits. This position is situated within the Centre for Immersification, dedicated to applied research in immersive technologies and bridging the gap between academia and industry. Research staff at the Centre have the opportunity to be equipped with applied research skill sets relevant to industry demands while working on innovative projects within the university. The research team is seeking a Research Fellow or Research Engineer with strong expertise in Human-Computer Interaction (HCI) and social science methodologies to lead the user research and policy development, as part of an interdisciplinary team investigating harmful user-generated content in virtual worlds as part of a national research initiative on Online Trust and Safety. The primary responsibility of this role is to investigate users’ experiences with harmful content in these virtual environments, review existing reporting guidelines on these platforms, and evaluate users’ responses to alternative mechanisms. The successful candidate will work with a diverse team of faculty members, engineers, and industry partners, including labs at the College of Computing and Data Science (CCDS) at NTU. Technical skills, natural curiosity, versatility, and enthusiasm are highly desired traits that will enable success in this fast-paced environment. Key Responsibilities Manage the research project together with Principal Investigator (PI), Co-PI and the research team members to ensure all project deliverables are met. Conduct a comprehensive review of literature, existing safety policies, community standards, and moderation tools currently used in online social gaming platforms Design and execute surveys and interviews to collect data (including participant recruitment) to address the relevant research questions. Perform statistical analysis on survey/experimental data, and Conduct thematic analysis on interview transcripts and open-ended survey responses. To lead and report research findings in a form of high-quality publications and present in international peer-reviewed conferences and journals. Develop policy recommendations based on the research findings. 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 Responsibilities Manage the research project together with Principal Investigator (PI), Co-PI and the research team members to ensure all project deliverables are met. Conduct a comprehensive review of literature, existing safety policies, community standards, and moderation tools currently used in online social gaming platforms Design and execute surveys and interviews to collect data (including participant recruitment) to address the relevant research questions. Perform statistical analysis on survey/experimental data, and Conduct thematic analysis on interview transcripts and open-ended survey responses. To lead and report research findings in a form of high-quality publications and present in international peer-reviewed conferences and journals. Develop policy recommendations based on the research findings. 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. Key Competencies Able to build and maintain strong working relationships with people within and external to the university. Self-directed learner who believes in continuous learning and development Proficient in technical writing and presentation  Possess strong analytical and critical thinking skills Show strong initiative and take ownership of work

nowRef.: 534889 Work type: Full-time Department: School of Biomedical Sciences (22600) Categories: Teaching Staff Applications are invited for appointment as Senior Lecturer (several posts) in the School of Biomedical Sciences (Ref.: 534889), to commence as soon as possible, on a three-year fixed-term basis, with the possibility of renewal. Applicants should have a Ph.D. degree in Biomedical Sciences, Life Sciences, or other cognate disciplines, with at least 5 to 10 years of relevant teaching experience. They must demonstrate proven leadership in course coordination and substantial teaching experience in anatomy, physiology, biochemistry, for medical, nursing, pharmacy, and biomedical sciences degree programmes. Applicants should be able to demonstrate adoption of innovative approaches in teaching and learning, a record of driving curricular reform, and/or collaboration across disciplines. Evidence of participation and achievement in educational research, including teaching grants and publications, is essential. Good student feedback is an advantage. Applicants should also be inspiring to students, with clear strategies to foster students’ confidence and competence in critical thinking, analytical reasoning, communication skills, and ethical values. The appointee will be involved in the delivery and leadership of teaching at both undergraduate and postgraduate levels, as well as mentoring the junior teaching staff in the School. A highly competitive salary commensurate with qualifications and experience will be offered, in addition to annual leave and medical benefits. At current rates, salaries tax does not exceed 15% of gross income. The appointment will attract a contract-end gratuity and University contribution to a retirement benefits scheme, totalling up to 15% of basic salary. Housing benefits will be provided. The University only accepts online applications for the above posts. Applicants should apply online and upload an up-to-date C.V. together with a teaching statement. Review of applications will commence from May 6, 2026 and continue until 31 May 2026, or until the posts are filled, whichever is earlier. Advertised:Apr 23, 2026 (HK Time) Applications close:May 31, 2026 (HK Time)