Harbin Medical University

Role type: Full Time, Fixed Term (15 Months)Faculty: Faculty of scienceSchool: School of Mathematics and StatisticsSalary: Level A: $87,266 - $118,416 p.a. plus 17% superCutting edge AI optimisation research within ARC Training Centre OPTIMA / Strong industry collaboration and real world impact / Collegial, multidisciplinary team at Melbourne ConnectJoin OPTIMA to shape next-generation AI optimisation tools, publish at the highest level, and build industry partnerships.Investing in you - 17% superannuation, benefits package including salary packaging, health and wellbeing programs, discounted services, and professional development opportunities.The University of Melbourne We take pride in our people, who all contribute to our mission to benefit society through the transformative impact of education and research. Discover more via our website. Your next career opportunity You will drive exploratory research at the intersection of AI and optimisation within ARC Training Centre OPTIMA. You will integrate AI tools into optimisation software, collaborate with industry, and co-supervise talented Masters and PhD students. You will gain mentoring, publishing and networking opportunities in a highly collaborative, multidisciplinary team at Melbourne Connect. What you will deliver:Advance cutting edge research on AI methods for model-based and black-box optimisation aligned with OPTIMA priorities.Develop, test and maintain open-source optimisation tools, integrating AI methods, instance space analysis and MiniZinc where appropriate.Publish high quality journal and conference papers, and present research at seminars, conferences and industry engagements.Co-supervise and mentor honours, Masters and PhD students, supporting timely thesis completion and impactful research outputs.Build collaborations with industry partners and OPTIMA colleagues, contributing to funding proposals, workshops and centre governance activities.You may be a great fit if you:Hold or approach completion of a PhD in applied mathematics, statistics, computer science, engineering or related discipline.Possess strong knowledge of AI tools, including machine learning methods and generative AI platforms, applied to optimisation.Demonstrate research excellence in optimisation or related fields, evidenced by quality publications relative to opportunity.Offer expertise in one or more areas such as operations research, constraint programming, evolutionary computation or machine learning.Show experience supervising or mentoring research students and collaborating effectively within multidisciplinary teams or industry projects.Exhibit potential to contribute to competitive grant applications and to engage productively with external partners and stakeholders.For further information please refer to the attached PD. What we offer you! We offer the opportunity to be part of a vibrant community and enjoy a comprehensive range of benefits to support your success and sense of fulfilment, including:Build future financial security with 17% superannuationSupportive flexible work arrangements underpinned by our commitment to inclusion and well-beingCareer development opportunities, including access to a range of tailored programs, such as Academic Women in Leadership, and learning platforms including LinkedIn LearningProgressive, considerate leave provisions to empower your work-life balance and well-being, including leading parental leave, gender affirmation leave and cultural leaveSalary packaging and access to a range of discounted services including Bupa health insurance, and access to unique cultural and recreational benefits such as discounts for the Melbourne Theatre CompanyHealth and well-being services including a leading Employee Assistance ProgramFor more information check out our benefits page! Your new team - School of Mathematics and Statistics You will join OPTIMA, an ARC Industrial Transformation Training Centre uniting researchers and industry to tackle complex optimisation challenges. Based in the School of Mathematics and Statistics within the Faculty of Science, you will collaborate with leading experts across mathematics, computer science, engineering and industry. Working from Melbourne Connect, the University's innovation precinct, you will benefit from outstanding facilities, strong mentoring, and a vibrant cohort of postdoctoral fellows and students committed to impactful, collaborative and inclusive research. For more on OPTIMA, visit: www.optima.org.au Be Yourself The University of Melbourne is an Equal Opportunity Employer and a child-safe organisation. The diversity of our community enriches us all, and we are committed to creating an inclusive and fair workplace where everyone is valued, respected, and empowered to succeed. We welcome applicants from all backgrounds, identities, and experiences. Discover more about Diversity and Inclusion at UniMelb. We're committed to a barrier-free recruitment process and ongoing workplace support, providing adjustments throughout. We warmly encourage applications from people with disabilities. Learn more about how we support an accessible recruitment process. Aboriginal and Torres Strait Islander Applicants We aspire to be the University of choice for Indigenous Australians. Visit our Indigenous staff page to learn more about our investment and support for Aboriginal and Torres Strait Islander staff. Indigenous applicants are encouraged to connect with our Indigenous Employment & Development team at oied-hr@unimelb.edu.au. Application essentials:Visit "apply with us" to learn more about the process, including tips and FAQs.You must have current valid work rights for Australia. Visa sponsorship is not available for this role.A Working with Children Check is required for all positions. If successful, we will guide you through the process and reimburse you.Please upload your resume and a cover letter outlining your interest and experience as part of the application process.Please upload your responses to the Selection Criteria, found in the Position Description.Want to know more?For queries related to this specific position or for questions related to our recruitment process email Lachlan Bryce at hr-careers@unimelb.edu.auFor recruitment adjustments contact Kim Groizard on +61 3 9035 3218 or at hr-careers@unimelb.edu.au (subject: 'Recruitment Adjustments').Apply today, and join a community that's shaping the future. Applications close: Sunday 28 June 2026 11:55 PM; Melbourne time zone.Position Description:JR-013584 OPTIMA Postdoctoral Research Fellow, AI in Optimisation_PD.pdfJR-013584 OPTIMA Postdoctoral Research Fellow, AI in Optimisation_PD.docx

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 a demonstration scale low pressure membrane system in collaboration with Atera Water Pte Ltd. Key Responsibilities Applicants are invited for a Research Engineer in low pressure membrane system (LPMS). Reporting to the Project Principal Investigator (PI), you will assist in all administration matters including overseeing, planning, forecasting, budgeting as well as ensuring the smooth running of the daily operations for the project Assists in co-supervision of final year projects (FYP) or capstone projects students or student helpers under the Project PI. Assist in designing, planning and setting up of a demonstration scale LPMS plant at a site allocated by PUB. Assist in designing, planning and setting up of a lab-scale LPMS plant at a SIT Punggol campus Assist in carrying out of experiment, data logging and analysis of data collected. Work with computational fluid dynamics (CFD) results generated by an expert to correlate with experimental data Assists the PI in drafting of reports, conference proceedings and journal articles based on the outcome of the projects. Prepares and shares fortnightly report of results from the computations with the program director and PI. Support the procurement and maintenance of the software/hardware under the charge of the PI Any other adhoc duties assigned. Requirements The appointee should have a strong foundation in fluid dynamics and understanding of fluid (air and water) flow is important. Appointee should also have experience with design of experiments, carrying out experiments and results analysis. Prior experience working with membrane systems will be a plus. A recognised degree from a good University B.Eng or M.Eng in Mechanical Engineering, Aeronautical Engineering, chemical or environmental engineering Strong foundation in Fluid Dyanmics Able to work independently with strong data analytical skills, communication, and interpersonal skills. Proficient in handling large data sets and the ability to analysis and interpret results Experience with internet of things setup and controller design (PLC or embedded computing) Key Competencies Good self-discipline and motivated to deliver Show strong initiative and take ownership of work 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

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 Department of Marketing and International Business (Post Ref.: 26/174) General Requirements Candidates should have a relevant PhD degree in Marketing or relevant discipline, with outstanding research and teaching potentials. Lingnan University has a strong commitment to teaching and research excellence. The appointee is expected to contribute to the Department, the Faculty of Business, and the University by securing external competitive research grants, publishing papers in top academic journals, teaching relevant courses at undergraduate and postgraduate levels, and engaging in some service activities. In addition, excellent communication and presentation skills are highly desirable. The appointee is 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 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 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 normally 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 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.