Annual Salary & BenefitsAnnual salary package: $104,481 (ACA Level A.4) - $112,550 (ACA Level A.6/ PhD awarded rate) plus 17% superannuation & annual leave loadingContract & LocationFull-time, fixed term appointment until end of July ****Macquarie University, Wallumattagal Campus, North RydeRole OverviewMachine learning is moving beyond centralised data and single models.
Deep variational and decentralised learning sit at the frontier of this shift, and the theory that underpins them is still being written.
This is an opportunity to help write it.The RoleExplore deep variational and decentralized machine learning theoriesDevelop theoretical foundations and publish results in competitive venuesWork with a competitive team with wide global representativenessKey ResponsibilitiesDevelop fundamental models for deep variational and decentralized learning.Conduct relevant modelling, analytical and visualization tasks.Publish the findings in top-tier events.About UsThe Faculty of Science and Engineering is a community of discovery, dedicated to developing the next generation of science and technology innovators.
Within the Faculty, the School of Computing brings together researchers, educators and students working across artificial intelligence, data science, cyber security, software engineering and information systems.We are a group of highly active, dynamic and productive research team based in the AI Lab in the School of Computing and the Frontier AI Research Centre at Macquarie University.
The team is committed to high-profile research activities relating to major grants, industry engagement, and international collaboration.




The team consists of hierarchical diverse profiles of stakeholders from senior leaders to active academic staff, HDR students, postdoctoral researchers, to visitors.About YouYou are an experienced researcher with relevant qualification in the areas relating to AI, data science, and machine learning; demonstrated experience in coordinating a research team and assisting research leaders and academic staff; demonstrated outcomes in applied statistics, advanced analytics, machine learning, optimization methods, information theory, visualization, etc. areas through contributing to research projects; skills and satisfactory results in communicating with broad stakeholders including intensive publication experience.Selection CriteriaMaster by Research or higher level of qualifications in the areas of AI, data science, machine learning, or relevant areas,Demonstrated research expertise in areas including applied statistics, machine/deep learning, information theory, visualization, and data analytics,Evidence of research outputs such as a solid track record in continuously publishing at top-tier venues as the main contributor, and anAbility to collaborate with relevant teams, partners,



participants or stakeholders.Role Specific RequirementsThe successful candidate must be able to work within any applicable project confidentiality, contracting and security requirements.Background ChecksThe successful candidate will be required to undergo a National Police/ Criminal History Check and a qualification check.
An international police/ criminal history check may also be required, depending on the candidate's circumstances.
*** Appointment will also be subject to compliance with applicable Defence-related legislation and project security requirements, including Defence Export Controls and Safeguarding Australia's Military Secrets legislation where relevant.ApplicationsApplications close: Wednesday 14 Oct **** at 11:59 p.m. (AEST)Role Enquiries: For further information about the role, please contact Prof Longbing Cao at .
EligibilityNote: Candidates must be onshore and have valid Australian work rights for the duration of the appointment.
*** We reserve the right to progress or decline applications prior to the application closing date.Equity and InclusionThe Faculty of Science and Engineering at Macquarie University aims to increase the engagement of women, Aboriginal and Torres Strait Islander peoples, and people from diverse backgrounds in STEMM roles.
Applications are considered holistically, and candidates are encouraged to apply even if their experience does not meet each individual selection criterion.Pre-Employment ChecksMacquarie University cultivates a workplace defined by safety, ethical conduct, and strong integrity.
Prior to
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📌 Research Associate In Machine Learning (Sydney)
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📍 Sydney