University of Technology Sydney

The Hong Kong University of Science and Technology (Guangzhou) (HKUST (GZ)) About HKUST (GZ) With innovation in its DNA, The Hong Kong University of Science and Technology (Guangzhou) is a high-level research university featured by cross-disciplinary education. The University strives to become a world-class university with Chinese characteristics. HKUST(GZ) is located in Qingsheng, Nansha, Guangzhou, the geometric center of the Guangdong-Hong Kong-Macao Greater Bay Area in China. Currently, the University’s student body is around 4,000, encompassing both undergraduate and postgraduate students. The University is also a magnet for around 400 accomplished faculty and researchers. The campus development is divided into two phases. Phase-I (636,000 square meters) opened in September 2022, while Phase-II (730,000 square meters) has commenced construction in 2025 and will be delivered in phases starting from 2027. Phase-II will feature more advanced facilities, providing an exceptional environment for research, learning and residential life. HKUST(GZ) introduces a groundbreaking “Hub-Thrust” academic structure, which facilitates cross-disciplinary education. The University currently has four Hubs (Function, Information, Systems and Society) and 16 Thrusts. Here English is the medium of instruction and undergraduate programs are carefully articulated with postgraduate studies. The University boasts cutting-edge research facilities tailored to meet the needs of our investigating scientists in various disciplines. Actively aligning with the Greater Bay Area’s development and national strategic priorities of China, the University cultivates innovative talent, advances cutting-edge technologies, and seeks solutions to humanity’s major challenges.  Under the “Unified HKUST, Complementary Campuses” framework, HKUST(GZ) and HKUST achieve synergistic growth, delivering sustained impetus to the development of the Greater Bay Area, China and the world. Responsibilities Reporting to the President, the Vice-President for Teaching and Learning (VPTL) will provide strategic leadership in advancing future-ready teaching and learning initiatives at the University.  The VPTL will oversee the development and implementation of the UG common core curriculum, fundamental courses, and Redbird MPhil Program, ensuring quality in teaching and learning activities while enhancing students' educational experiences. As a key member of the Senior Management Team, the VPTL will collaborate with the President, other Vice Presidents, Deans, Academic Registrar, and relevant units to establish and implement protocols and policies that ensure the effective delivery of teaching and learning. In alignment with the "Unified HKUST, Complementary Campuses" framework, the VPTL will coordinate teaching and learning activities and academic support with the Clearwater Bay campus.  The VPTL is responsible for the following areas, including but not limited to: Lead the development and execution of the University’s strategies for teaching and learning, fostering a culture of excellence. Provide leadership and management to the College of Education Sciences (CES), College of Future Technology (CFT) and Institute of Education Innovation and Practice (IEIP) in shaping innovative learning and teaching approaches, including strategically leading the Red Bird MPhil Program, promoting and implementing our signature inquiry-based cross-disciplinary active learning model; as well as overseeing curriculum development and quality enhancement, and ensuring relevance to global perspectives and industry needs. Develop and implement strategies to recruit, develop, and retain high-quality faculty members for CES and CFT. Promote the implementation of blended, digital and AI-enhanced education offerings to provide students with flexible and individualized learning options. Cultivate an environment that promotes innovation and excellence in teaching and learning and best practice sharing. Develop a clear framework for managing educational performance to ensure our standards meet those expected of a world-class university.  Lead the formulation of policies concerning teaching and learning.  Facilitate the implementation and optimization of a professional development plan for members engaged in university-wide teaching and related training activities. Integrate and allocate teaching resources by assessing and identifying the resources needed to uphold our mission of teaching and learning. Foster integrity, quality, creativity, communication, and innovation across all teaching and learning related responsibilities. Develop annual budgets and manage financial resources in the supervised areas. Requirements: The VPTL is expected to be an experienced, dedicated, and visionary educator with international background and extensive experience in higher education teaching management and exceptional leadership skills, together with energy, passion, and unwavering commitment to promoting teaching innovation and interdisciplinary education and enhancing the quality of higher education.  The ideal candidate should be able to see the big picture, be knowledgeable about pedagogy, teaching methods, curriculum development, and quality assurance, and be open-minded to technology and innovation, with international and forward-thinking vision, strong drive, and excellent execution skills to develop and implement innovative solutions that promote teaching effectiveness and quality. The ideal candidate should possess a research background to support the integration of academic research and teaching, along with a deep knowledge of education system of both Chinese mainland and Hong Kong, demonstrating outstanding leadership and management abilities in inspiring faculty to pursue excellence in teaching, as well as possessing excellent communication skills to develop partnerships with other higher education institutions, government agencies, and industries. Remuneration and Conditions of Service The post of VPTL is a full-time appointment, normally for an initial term of 4 years, and renewable subject to mutual agreement. Competitive remuneration of international standard and generous fringe benefits, including medical and housing, will be provided. Nomination, Expression of Interest and Applications Nomination, expressions of interest and applications should be directed to Odgers via email at HKUSTGZ-VPTL@odgers.com in confidence. Review of nominations and applications will begin now, and will continue until the post is filled. ODGERS Suite 602, The Chinese Bank Building 61-65 Des Voeux Road Central, Central, Hong Kong

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 support and contribute to an industry innovation research project. The Research Engineer will work closely with the Principal Investigator (PI), Co-PI, and the research team to develop deep learning-based computer vision algorithms and software for object detection, classification, and segmentation. Key Responsibilities Participate in and manage the research project together with the PI, Co-PI, and research team to ensure timely achievement of project deliverables. Undertake the following specific responsibilities in the project: i. Develop, train, and optimise deep learning models for object detection, classification, and segmentation using real-world datasets. ii. Design and implement software modules to integrate the models into a working system prototype. iii. Perform data annotation. iv. Conduct experiments, analyse results, and iterate models for improved accuracy and efficiency. v. Prepare project documentation, technical reports, and academic publications. vi. Collaborate with industry partners and contribute to technology transfer efforts. Job Requirements 1. Possess strong technical knowledge and hands-on experience in: Deep learning frameworks (e.g., PyTorch, TensorFlow) Deep learning models (e.g., YOLO, U-Net, EfficientNet, ResNet, FPN, Fast R-CNN) Computer vision techniques and algorithms Python and relevant libraries (e.g., PyQt, OpenCV, NumPy, scikit-learn), particularly for developing Windows desktop application software incorporating deep learning models 2. Hold at least a Bachelor’s degree in Computer Science, Electrical/Electronic/Software Engineering, or a related field. A Master’s or PhD degree in relevant areas will be advantageous. 3. Familiarity with the following areas is advantageous: Participation in Kaggle competitions, showcasing practical problem-solving and model development skills Model deployment (e.g., ONNX, TensorRT) Edge computing or embedded vision systems (e.g., NVIDIA Jetson Nano) Real-time processing and GPU acceleration Experience working on industry R&D projects Key Competencies Able to build and maintain strong working relationships with team members, stakeholders, and external partners Self-motivated and committed to continuous learning and improvement Proficient in technical writing & presentation, research reporting, and academic publication Possess strong analytical, problem-solving, and critical thinking skills Demonstrate initiative and ownership in carrying out tasks independently

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 post: Chair Professor Department of Accountancy (Post Ref.: 25/208) The Department is looking for a Chair Professor to provide strong academic leadership in both research and teaching, and to contribute to the administration and management of the Department of Accountancy, and to the development of the Faculty of Business. It is expected that the appointee can contribute to AI, data science and STEM-related accounting research in alignment with the University’s strategy and to significant leadership service. General Requirements Candidates should have (a) a PhD degree in a relevant discipline with substantial teaching experience; (b) a strong international reputation and an outstanding track record of high impact research publications and competitive research grants; (c) strong research leadership capabilities and experience, with a commitment to helping other faculty develop their research and providing research supervision to students; and (d) previous administrative leadership experience at the Department or Faculty level will be a distinct advantage. Lingnan University is fully committed to the pursuit of excellence in both teaching and research. Candidates are required to provide evidence of quality teaching and information on their research records. The appointee is expected to have a strong commitment to teaching excellence and services to the Department, the University community, and to engage actively in quality research and publication. Appointment Internationally competitive start-up packages are available for the successful candidate. A globally competitive remuneration package commensurate with the appointee’s qualifications and experience will be offered. Fringe benefits include annual leave, medical and dental benefits, mandatory provident fund (retirement benefits scheme), gratuity, and incoming passage and baggage allowance for the eligible appointee. Appointment with substantiation/tenure will normally be considered. 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 post is filled. Qualified candidates are advised to submit their applications early for consideration. The University reserves the right not to make an appointment for the post advertised, or to fill the post by invitation or by search. We regret that only shortlisted candidates will be notified.