University of Basel

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

The Role: Teaching Fellowship in Music Psychology We seek to appoint a talented individual to the role of Teaching Fellow in Music Psychology, tenable from 1 September 2026. You will contribute to high-quality teaching and curriculum development at undergraduate and postgraduate levels, including the Department's ongoing efforts to address challenges relating to gender equality, race and decolonisation. You will very likely be required to teach the UG Level 2 module "Music and Science" ( ), contribute seminars about Music Psychology within our newly formulated MA module ("Research in Music"), and provide one-to-one supervision of dissertations at both undergraduate and MA level. This post offers an exciting opportunity to make a major contribution to the development of internationally excellent teaching while allowing you unrivalled opportunities for career progression and professional development. The University provides a working and teaching environment that is inclusive and welcoming and where everyone is treated fairly with dignity and respect. You will be expected to demonstrate your commitment to these key principles as part of the assessment process. The Department actively promotes the values of equality, diversity and inclusion, and in joining us, you would contribute to ongoing initiatives and conversations to further these principles. Applications are particularly welcome from groups who are under-represented in academic posts. We are committed to equality: if for any reason you have taken a career break or periods of leave that may have impacted on your career path, you may wish to disclose this in your application and the selection committee will take it into account. The post is for a fixed term only, and it is not anticipated that it will be extended beyond this fixed term. Key Responsibilities Teach modules in appropriate learning environments at undergraduate/postgraduate levels, demonstrating an increasing awareness of different approaches to and methods of teaching and supporting student learning; Demonstrate the ability to manage own teaching and designing, planning and writing teaching materials; Lead some aspects of modules and contribute to modules led by others by collaborating with colleagues on course development; Develop and deliver an inclusive curriculum and make an active contribution to an inclusive community in which diversity is embraced and celebrated; Seek and take on board feedback on teaching and engage with others in CPD; Supervise undergraduate student(s), and where appropriate act as part of a PhD supervisory team; Contribute to educational skill of colleagues, e.g. giving a seminar to colleagues or engaging in constructive discussion about a seminar; Build internal contacts and participate in networks to exchange information; Start to engage in scholarship (the creation, development and maintenance of the intellectual infrastructure of subjects and disciplines) e.g. develop online teaching resources; In addition to Board of Studies, membership of some departmental committees and professional body memberships; Student support, assessment of academic performance and provision of feedback, dealing with student disciplinary matters and complaints; Undertake effectively and efficiently any administrative role allocated by your Head of Department. To contribute to fostering a collegial and respectful working environment which is inclusive and welcoming and where everyone is treated fairly with dignity and respect. To engage in wider citizenship to support the department and wider discipline. To engage in continuing professional development by attending relevant training and development courses.

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.