Charles Sturt University

Full time, fixed term for 12 months, with potential for extension Exciting opportunity for a Research Fellow to contribute to a research program focused on Digital Health, Public Health, Health Equity and Health Care Base Salary Level B: starting from $127,436 + 17% superannuation About the opportunity The Westmead Applied Research Centre is seeking a Postdoctoral Research Fellow to apply and refine their expertise in research methodologies, design and delivery to contribute to the university's standing as a national leader in the discipline. In this role, you will have the opportunity to work closely with the Academic Director of WARC, Prof Clara Chow AM, as well as collaborating with team members and partners on key projects within the research program. Your key responsibilities will be to: conduct original research independently or as part of a team, focusing on publication, conference presentations and securing research funding maintain a research profile through publication of book chapters, peer-reviewed journal articles and conference or seminar papers develop research collaborations and engage in translational research that leads to knowledge transfer, commercialisation or improvements to policy and practice contribute to applications for competitive research grants or funding to deliver research impact maintain quality, standards and excellence in research activities and outputs provide informal mentoring and guidance to lower-level academics and supervise postgraduate research students or projects where appropriate carry out administrative tasks and contribute to faculty or school meetings contribute to a positive workplace culture in which diversity of thought, collaboration, excellence and achieving outcomes are valued and enabled understand and contribute to furthering the university and faculty or school strategic agenda contribute expertise through communication of scholarship with industry, forums of public debate, public events, seminars and conferences undertake other duties and contribute to projects appropriate within the classification level as required. About you PhD in Digital Health, Public Health, Health Equity, or other relevant fields demonstrate expertise and experience in undertaking health services research proven experience in data analysis, data interpretation, and protocol writing have expertise in the design and conduct of qualitative research, including qualitative studies demonstrate a track record of impactful research and publications in their field an excellent mentor for junior scientists as evidenced by supervision, mentoring, and support demonstrate a strong track record of effectively working in multi-disciplinary teams, industry and professional institutions, health partners, and stakeholders strong skills in research, planning and organisation, computer literacy, effective presentations, communication and customer service. Pre-employment checks Your employment is conditional upon the successful completion of all pre-employment or background checks required for the role in terms satisfactory to the University. Also, to meet the University's obligations under the National Higher Education Code to Prevent and Eliminate Gender-Based Violence you will be asked to declare if you have been investigated for, or found to engaged in, sexual harm or gender-based violence in the course of previous employment or in a legal process. Similarly, your ongoing employment is conditional upon the satisfactory maintenance of all relevant clearances and background check requirements. If you do not meet these conditions, the University may take any necessary step, including the termination of your employment. EEO statement At the University of Sydney, our shared values are trust, accountability and excellence and we strive to be a place where everyone can thrive. We are committed to creating a University community that thrives through diversity and reflects the wider community that we serve. We deliver on this through our commitment to diversity and inclusion, evidenced by our people and culture programs, as well as key strategies to increase participation and support the careers of Aboriginal and Torres Strait Islander People, women, people living with a disability, people from culturally and linguistically diverse backgrounds, and those who identify as LGBTIQ+. We welcome applications from candidates from all backgrounds. We are proud to be recognised as an Australian Workplace Equality Index (AWEI) Gold employer. Find out more about our work on diversity and inclusion. How to apply Applications (including a cover letter, CV, and any additional supporting documentation) can be submitted via the Apply button at the top of the page. For employees of the University or contingent workers, please login into your Workday account and navigate to the Career icon on your Dashboard. Click on USYD Find Jobs and apply. For a confidential discussion about the role, or if you require reasonable adjustment or any documents in alternate formats, please contact, Ajaypal Singh, Recruitment Operations by email to ajaypal.singh@sydney.edu.au. © The University of Sydney The University reserves the right not to proceed with any appointment. Click to view the Position Description for this role. Applications Close Monday 08 June 2026 11:59 PM

Ref.: 536264 Work type: Full-time Department: Department of Ophthalmology, School of Clinical Medicine (22300) Categories: Professoriate Staff Applications are invited for appointment as Tenure-Track Professor/Associate Professor/Assistant Professor (several posts) in the Department of Ophthalmology (Ref.: 536264), to commence as soon as possible, on a three-year fixed-term basis, with the possibility of renewal subject to satisfactory performance and consideration for tenure before the expiry of a second three-year fixed-term contract.  Applicants should possess a Ph.D. degree in Medical Image Processing, Artificial Intelligence, Computational Health Sciences, or related disciplines. He/ She should demonstrate a proven track record of impactful research, publications, external grant and leadership, a strong commitment to engaging students in inquiry-based learning at both undergraduate and postgraduate levels, as well as a strong track record in translational AI research, particularly in the following areas: (i) development of AI-enabled ophthalmic imaging devices with regulatory approval and clinical deployment; (ii) retinal image analysis, foundation models, and multimodal learning for ophthalmology; (iii) AI-driven screening systems for ocular and systemic diseases; (iv) machine learning approaches for multi-omics or clinical data integration in ophthalmology. Those with less experience may be considered for appointment as Associate Professor or Assistant Professor. The appointees are expected to lead and manage translational research projects in ophthalmic AI, leverage expertise in retinal image analysis, multimodal learning, and foundation models to develop clinically deployable screening and diagnostic systems, participate in teaching and supervising undergraduate and postgraduate students, and perform administrative duties. 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 also be provided as applicable. The University only accepts online application at the University’s career site (https://jobs.hku.hk) for the above posts. Applicants should apply online, upload (i) an up-to-date C.V., (ii) a research statement, (iii) a teaching statement, (iv) two to three most significant research publications, and provide contact information of at least three referees. Review of applications will start from July 26, 2026 and continue until August 26, 2026, or until the posts are filled, whichever is earlier.

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: Associate Professor of Teaching / Assistant Professor of Teaching Office of the Faculty of Business (Post Ref.: 26/121) The Faculty of Business is an AACSB-accredited one aiming at continuous improvements of our academic level and education service in the liberal arts setting. The Faculty plays an important role in educating students about cutting-edge, practical knowledge and skills, improving students' academic and professional capabilities, as well as enhancing students' awareness on social responsibilities. Furthermore, we have been devoting every effort to the sustainable development of Lingnan University in the academic community and the substantive realization of our values and mission in the Hong Kong society and the world. The Faculty is looking for an experienced Assistant Professor of Teaching / Associate Professor of Teaching who will (1) teach courses in the STEM area focusing on information systems, business data analytics, python programming, etc., (2) support the promotion and admission as well as operation of taught postgraduate programmes at the master’s or doctoral level in the Faculty, (3) contribute to students’ academic and career advising, and (4) contribute to other administrative matters of the Faculty as required by the supervisors. General Requirements Candidates should have (i) a doctoral degree in computer science, information systems, data science or other relevant areas (candidates with both STEM and business background are highly desirable); (ii) at least 3 years of experience in teaching relevant courses; (iii) a recognizable experience in promoting and managing taught postgraduate programmes; and (iv) good command of English and Chinese (including Putonghua). 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 appointee. Appointment will normally be made on contract basis for up to two years. 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.