Abdullah Gül University

Lingnan University is one of the eight publicly funded institutions in the Hong Kong Special Administrative Region (HKSAR) and has the longest established tradition among the local institutions of higher education. It is widely recognised for providing quality education with a focus on whole-person development and conducting high-impact research for a better world. Moving forward, Lingnan University is well positioned to take lead as a comprehensive university in arts and sciences in the digital era, with impactful research and innovations. Lingnan University offers undergraduate, taught postgraduate, and research postgraduate programmes in the Faculties of Arts, Business, Social Sciences, and the Schools of Data Science, Graduate Studies and Interdisciplinary Studies. To foster interdisciplinary collaboration and scientific progress, Lingnan University established the Lingnan University Institute for Advanced Study (LUIAS), attracting distinguished scholars from around the world to collaborate with its faculty and students. With traditional strengths in arts, business, social sciences, and interdisciplinary studies, the University aims to equip students with practical knowledge and critical thinking skills to thrive in the future. Subsequent to the establishment of the School of Data Science and LUIAS, Lingnan University is transforming into a hub for global leaders to develop and promote human-centric technology and social policies. Further information about Lingnan University is available at https://www.ln.edu.hk/. Applications are now invited for the following posts: Associate Professor/Assistant Professor Division of Artificial Intelligence (Post Ref.: 25/72) The Division is looking for an experienced Associate Professor/Assistant Professor who will (1) conduct high-quality research in the state-of-the-art areas in artificial intelligence, natural language processing, large language models, and computer vision; (2) secure external competitive research grants in various funding bodies; (3) teach multiple subjects in both undergraduate-level and postgraduate-level programs in data science areas focusing on industrial data sciences, blockchain, data sciences, artificial intelligence, etc.; (4) work on the promotions and admissions as well as the operations for undergraduate and postgraduate programmes, and (5) contribute to other administrative duties as required by the supervisors. General Requirements Candidates should have (i) a doctoral degree in a relevant data science, computer science, artificial intelligence, information engineering, or other relevant areas; (ii) a strong publication record and outstanding citation counts in the research areas; (iii) experience in applying external grants and teaching relevant courses and relevant programme administrative experience will be advantages; (iv) good command of English and Chinese (including Mandarin). For the post of Associate Professor, six years of relevant experience in the tenure-track academic post should be required. The candidates with less experience will be considered as Assistant Professor. Appointment The conditions of appointment will be competitive. The rank and remuneration will be commensurate with qualifications and experience. Fringe benefits include annual leave, medical and dental benefits, mandatory provident fund, gratuity and incoming passage and baggage allowance for the eligible appointees. Appointments will normally be made on a fixed-term contract of up to three years. Appointment will normally be made on an initial contract of three years, which, subject to review and mutual agreement, may lead to longer-term appointment with possibility of consideration for substantiation. Application Procedure (online application only) Please click "Apply Now" to submit your application. Applicants shall provide names and contact information of at least three referees to whom applicants’ consent has been given for their providing references. Personal data collected will be used for recruitment purposes only. We are an equal opportunities employer. Review of applications will continue until the posts are filled. Qualified candidates are advised to submit their applications early for consideration. The University reserves the right not to make an appointment for the posts advertised, or to fill the posts by invitation or by search. We regret that only shortlisted candidates will be notified.

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 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 solutions for adapting CCS2 chargers for marine electrical vessels and optimizing DC fast charging technology for marine applications. As a Research Engineer (Electrical Engineering – Marine EV Charging & DC Fast Charging), you will be part of a dynamic team working on cutting-edge research and industry projects. You will: Participate in and manage the research project with the Principal Investigator (PI), and industrial partner to ensure all project deliverables are met. Develop and implement solutions for adapting CCS2 chargers to marine electric vessel applications. Design experiments for testing and analyze DC fast charging for high power marine EVs and assess communication integrity at various operating conditions. Test interoperability of charger with marine EVs and ensure compliance with EV charging communication protocols (e.g., ISO 15118, DIN 70121). Conduct EMI noise analysis and mitigation for high-power DC charging systems. Develop and troubleshoot embedded hardware and software for charger communication and control. Work on energy storage integration for marine charging infrastructure. Collaborate with industry partners and regulatory bodies on marine charging standards and DC fast charging protocols. Support knowledge transfer, prototype development, and system integration. Carry out Risk Assessment and ensure compliance with Work, Safety, and Health Regulations. Coordinate procurement and liaise with vendors/suppliers to support project needs. Work independently, as well as within a team, to drive research and development efforts Job Requirements Degree/Master’s in Electrical Engineering, Power Electronics, or related fields. Strong knowledge of DC fast charging, energy storage systems, charger communication standards, and power electronics. Experience in charger communication protocols (e.g., CAN, PLC, Modbus, IEC61851). Experience in hybrid or full electrical systems design or analysis and system integration Experience in designing and developing experiments and associated test-set up for testing and troubleshooting electrical systems Proficiency in EMI noise analysis and power quality assessment. Knowledge of marine electrical systems and power electronics systems is an advantage. Hands-on experience with embedded systems, microcontrollers, and software development is an advantage. Passion for applied research, problem-solving, and industry collaboration. Key Competencies Strong analytical and troubleshooting skills. Ability to work in a team-oriented and interdisciplinary environment. Effective communication and technical documentation skills. Adaptability to work on industry-focused projects with tight deadlines. Able to build and maintain strong working relationships with people within and external to the university. Possess strong analytical and critical thinking skills Show strong initiative and take ownership of work

At the heart of SIT’s mission is to nurture industry-ready graduates equipped with deep technical expertise and transferable skills to tackle tomorrow’s challenges. SIT collaborates with industry in our education, while benefitting them with our talent supply and collaborative research achievements. The University’s unique applied learning pedagogy integrates work and study, embedding authentic learning experiences within real-world environments. Through strategic partnerships forged by our faculty with industry, learners bridge theoretical knowledge with practical application in and out of the classroom. Such active & authentic learning opportunities ensures graduates step into their careers with applicable skills and competence.  In research, SIT faculty aims to bridge knowledge creation and utilisation. Our faculty collaborates closely with industry on translational research and innovation with focus on addressing pertinent industry challenges to impact businesses.  The Singapore Teaching and Academic Research Talent (START) Scheme is co-funded by the Ministry of Education (MOE) and SIT to encourage and support outstanding young Singaporeans interested in pursuing an academic career at SIT. The Early Career Awards (ECA) are designed to support Singaporeans who have recently completed their postdoctoral training and prepare them for an academic career at SIT. This award aims to enhance the teaching capabilities of the recipient and help build a strong research portfolio. Eligibility and Selection Criteria Singapore Citizen   Recently completed postdoctoral training   Excellent academic record plus a high degree of proficiency and motivation for a research area that is strongly aligned with SIT’s supported areas  Strong passion for teaching, research and an academic career Benefits Awardees may receive research grants to help build a competitive research portfolio. Upon completion of the award, awardees will be considered for Assistant Professorship. Awardees will also be assigned a faculty mentor for the duration of the scheme. Application Process Applications are open throughout the year. Applications received before 15 January 2026 will be considered for intake 2026.  Interview by the respective clusters for shortlisted applicants will be conducted throughout the year.  Final Interview by Panel for shortlisted applicants will take place from March to April 2026. Awards for intake 2026 will be finalised by July 2026. Supported Areas for START Engineering Energy Resilience: Power electronic converters for distributed energy resources and microgrids; High voltage DC transmission and distribution components and systems; Electric propulsions systems for land, sea and air; Wide bandgap solid-state protective devices.  Sustainable Infrastructure Engineering & Maintenance: Construction technology, Tunnel engineering, Integrated BIM for Civil and MEP design optimisation; Non-destructive testing and prognostic maintenance for infrastructure life extension.  Sustainable Maritime Engineering: Ship design and optimisation towards maritime decarbonisation; maritime battery room design for safety; intelligent ship and operations; autonomous vessels and systems.