Kwansei Gakuin 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: Research Assistant Professor Office of the Faculty of Business (Post Ref.: 25/296) The Faculty of Business (https://www.ln.edu.hk/fb/) at Lingnan University has been accredited by the Association to Advanced Collegiate Schools of Business (AACSB International). 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 appointee is expected to (a) conduct independent and collaborative research; (b) teach multiple subjects in both undergraduate-level and postgraduate-level programmes of the Faculty. The appointee will work for the Office of the Faculty of Business and Hong Kong Institute of Business Studies, and may be required to undertake certain administrative duties as required by supervisor(s). General Requirements Applicants should hold a PhD degree or an equivalent qualification in management science, operation research or other relevant fields for no more than five years prior to the commencement of the appointment. Applicants should have a strong track record in research evidenced by quality research output in line with international standards. He/she should have strong commitment to research and have an excellent command of English and Chinese (including Mandarin). The appointees are expected to submit applications for RGC grants, other local/overseas competitive grants and/or fellowship schemes. Appointment The conditions of appointment will be competitive. The rank and remuneration will be commensurate with 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 be normally made on an initial contract for up to two years. Application Procedure (online application only) Please click "Apply Now" to submit your application. Applicants should provide a CV and information about their work experience, qualifications, research interests and achievements. A statement of their publications and of any works in progress currently under review are required. Applicants shall also 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 begin in January 2026 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.

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 new herbicide compounds focusing on synthesis and characterizations of HPPD inhibitor herbicides. Key Responsibilities Participate in and manage the research project with Principal Investigator (PI), Co-PI and the research team members to ensure all project deliverables are met. i. Undertake these responsibilities in the project: ii. Design and synthesize novel HPPD inhibitor compounds iii. Conduct laboratory experiments for the synthesis of target compounds, including purification and characterization using techniques such as NMR, MS, FTIR, GC and HPLC Optimize synthetic routes and troubleshoot any challenges encountered during synthesis 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 Requirements A master’s degree or Ph.D. in chemistry, or a related field. Experience in organic synthesis techniques and analytical instrumentation. Excellent problem-solving abilities and attention to detail. Strong written and verbal communication skills. Ability to work independently and collaboratively in a team environment. 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

Full time, 2-year fixed term opportunity, located at the School of Mathematics and Statistics on the Camperdown Campus Opportunity to contribute to research on hybrid numerical-exponential asymptotic methods and their applications at the University of Sydney Base Salary, Academic level A $105,117 - $121,054 p.a + 17% superannuation About the opportunity The School of Mathematics and Statistics is currently seeking a Postdoctoral Research Associate in the development and application of hybrid numerical-asymptotic methods to nonlinear systems. Your key responsibilities will be to: work on an ARC DP project aiming to develop of hybrid asymptotic methods based on exponential asymptotics and computational complex analysis apply these methods to applied nonlinear problems arising from water wave theory and nonlinear optics conduct research either independently or as part of a team contribute to journal publications and other academic outputs produce software implementations of the algorithms developed in this project. About you The University values courage and creativity; openness and engagement; inclusion and diversity; and respect and integrity. As such, we see the importance of recruiting talent aligned to these values and are looking for a Postdoctoral Research Associate who has: a PhD in mathematics, applied mathematics, computational mathematics or a closely related discipline a strong background in asymptotic analysis, particularly including exponential asymptotics, resurgence, or asymptotics beyond-all-orders a strong background in numerical analysis, particularly computational complex analysis an excellent track record of publishing high-quality papers in top-tier mathematics journals solid mathematical programming skills. Pre-employment checks Your employment is conditional upon the completion of all role required pre-employment or background checks in terms satisfactory to the University. 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. © 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 27 April 2026 11:59 PM