Massey University

Lingnan University is one of the eight publicly funded institutions in the Hong Kong Special Administrative Region (HKSAR) of the People’s Republic of China (PRC) 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: Assistant Professor of Teaching Department of Digital Arts and Creative Industries (Post Ref.: 25/307) The Department of Digital Arts and Creative Industries (DACI) is an interdisciplinary and innovative learning hub that encompasses a wide range of areas, including film and television, animation, museums and curating, art history, as well as digital arts and immersive media. We offer broad theoretical study and practical training for students seeking careers in Hong Kong and the Greater Bay Area's burgeoning creative and cultural industries. The Department of Digital Arts and Creative Industries (DACI) currently offers three Undergraduate programmes, BA (Hons) Aminations and Digital Arts, BA (Hons) in Creative Media Industries and BA (Hons) in Visual Studies, and two taught master programmes, MA in Creative and Media Industries (MACMI) and MA in Curating and Art History (MACAH). For more information about the programme, please visit https://www.ln.edu.hk/daci/. DACI is inviting applications for a position of Assistant Professor of Teaching to contribute to teaching in the areas of Digital Animation, VR/ AR, interactive art or Cinematography, to commence in August 2026. The appointee is expected to: (a) teach relevant courses at both the undergraduate and postgraduate levels; (b) supervise postgraduate and/or undergraduate capstone projects; (c) contribute to service and development of the Department; (d) undertake other duties as assigned by the University. The appointee will teach a wide range of subjects, including “VR/ AR Workshop”, “Production Design”, “Interactive Art” or other digital art electives, and thesis supervision. Service for this role includes academic advising and student recruitment. General Requirements Applicants for the position should have a strong PhD degree. Key criteria for shortlisted candidates include: A strong teaching record; Ability to teach and design courses in Digital Animation, VR/ AR, interactive art or Cinematography of BA and MA levels; Excellent interpersonal and communication skills for developing meaningful collaborations with students and colleagues in a liberal arts setting. Shortlisted candidates are required to provide information about their research records, evidence of high-quality teaching in relevant subjects and will be requested to provide a sample course syllabus in the relevant field before the interview. Appointment The conditions of appointment will be competitive. 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 appointee. Appointment will normally be made on a renewable contract of two years, which is subject to review and mutual agreement. 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 applicant's 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 start from mid-February 2026 until the post is filled. Qualified candidates are advised to submit their applications early for consideration. 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.

Are you a registered mental health nurse, social worker, occupational therapist, or work in any other Nursing Discipline and looking for a new rewarding role? The University of Surrey's Wellbeing and Welfare department has a great opportunity for Mental Health Practitioners to join the team and contribute to the student experience.  Role & Responsibilities: We are seeking a highly skilled mental health professional with experience supporting individuals with complex mental health needs. This fixed-term role is available on a full-time or part-time basis for 6 months. Working hours can be discussed during the hiring process, with the expectation that the successful candidate will be based on our campus. Our well-established service is on a journey through an exciting period of transformation, and you will work within a committed and supportive multi-disciplinary team made up of mental health nurses, social workers, eating disorder therapists and counsellors.  As part of the role, you will:  Play a lead role in supporting the service and the wider University to offer proactive and compassionate mental health support to our entire student community. Work with the Wellbeing team to develop a service to meet the changing needs of students with mental health concerns to bring about evidence based improvements to the service provision. We will consider applications from recent graduates with a current membership of the NMC/Social Work England/HCPC. What’s in it for you? We think Surrey is an amazing place to work, and we are a flexible, and fun place to work and thrive.  Our campus is a beautiful, leafy environment with carefully designed gardens, vibrant green playing fields, and a picturesque lake. With the buzz of student life and superb working facilities, the University is a global community of ideas and people, dedicated to life-changing education and research in an inspiring, innovative and diverse environment. Alongside our campus setting, collegiate on-site atmosphere and plentiful development opportunities, we also offer: 14.5% employer Pension Contribution 25 Days annual leave + 7 University Days + Bank Holidays Electric Vehicle Scheme Travel & Family benefits including subsidised rail fare, cycle to work scheme and on-site childcare On site world-class leisure facilities at discounted rates On-site parking, cafes and Restaurants How to Apply For more information or to be considered for the role, please apply on our website with a full CV and covering letter. The University is committed to providing an inclusive environment that offers equal opportunities for all. We place great value on diversity and are seeking to increase the diversity within our community. Therefore, we particularly encourage applications from under-represented groups, such as people from Black, Asian and minority ethnic groups and people with disabilities. Further details Job Description

As Singapore’s University for Industry, SIT works closely with industry partners 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 position is to deliver on a research project to develop an End-to-end misinformation and disinformation protection, awareness and mitigation pipeline. We will be recruiting a research engineers or fellows, as part of a wider project, to conduct research on: Signal processing combined with AI-based modification on speech signals. The need is for a real-time system, so efficient coding is important. Key Responsibilities: Participate in and manage the research project with Principal Investigator (PI) Ian McLoughlin, Co-PI Tong Rong and the research team members to ensure all project deliverables are met.  Undertake research within your domain, including keeping track of state-of-the-art work. Develop the code, evaluate and test. Write academic publications. Deliver solution-ready demonstration code. Interact well within the team and the customers. Be self-directed to fulfil the project requirements. Job Requirements: Competence in working with languages such as C along with AI applications as well as Python-based coding . Have a degree in Computer Science/Computer Engineering. Possessing a Master’s or PhD degree will definitely be advantageous. Knowledge of machine learning, pytorch, huggingface etc... Knowledge of speech, audio, time-series or signal processing is required. Ability to effectively and efficiently utilise industry-standard Linux-based computers for AI. Experience of authoring good quality academic publications. Manage undergraduate research assistants (if appropriate). Liaise with customers and collaborators in A*STAR and NTU, as well as collaborators in the UK and China. Key Competencies: A self-directed worker who believes in continuous learning and development Proficient in academic writing  Possess good critical thinking skills Show strong initiative and take ownership of work Interest in AI, machine learning, image/audio processing