PRIMARY DETAILPostdoctoral Research Fellow in Functional Time Series AnalysisSalary package: From $119,840 (Level B), plus 17% employer's superannuation and annual leave loading. Appointment level will be determined based on the successful candidate's experience and skills.Appointment Type: Full-time, fixed-term (up to 4 years)Work with leading academics and researchersBuild your academic networksInnovative and supportive environmentThe RoleThis role is open to application by statisticians or data scientists who have a strong research interest and a growing reputation in statistical modelling or cognate fields with demonstrated interest in interdisciplinary and applied research. The successful candidate will support the research of Professor Hanlin Shang and will collaborate with members of his research group.The successful candidate will be expected to make a vigorous contribution in one or more of the following research areas and contribute to the supervision of PhD and MRes research students.Developing tools to visualize functional panel data, also known as high-dimensional functional time seriesInvestigating novel modelling and forecasting methods for functional panel dataClassification and improved prediction methods for functional panel dataDevising statistical methods for the analysis of heavy-tailed functional time seriesAbout UsMacquarie University is a leading institution of pioneering minds. Globally recognised as one of Australia's top universities, it is home to the Macquarie Business School which is AACSB accredited and a highly engaged business school, applying our knowledge to make a positive impact on our stakeholders. Working with our corporate partners, students and alumni, we create and share research that addresses business and societal challenges. We attract independent thinkers from all corners of the globe and draw on our international connections to improve the lives of communities worldwide. Our courses are recognised by key industry bodies.Macquarie University has been a leading provider of actuarial education for over 50 years. As the first university to be accredited with a professional actuarial body in the world, we have consistently delivered a first-class experience to our students. In addition to being accredited with the Actuaries Institute, the Department is also recognised as a Centre of Actuarial Excellence by the Society of Actuaries.Join us and start seeing the world in a different light.How To ApplyTo be considered for this position, you must demonstrate that you fulfill the selection criteria below. This should be done in a separate document, attached to the application along with your CV. You may also wish to include a Research Statement, addressing your research achievements to date and plans for the future.Essential Selection CriteriaA PhD (completed or near completion) in statistics, data science, or a related fieldA strong record of research achievements as evidenced by high-quality publications in statistics or a related fieldAbility to supervise postgraduate studentsDemonstrated ability to work independently and collaborativelyExperience in presenting research findings at scientific meetingsStrong written and oral communication skillsStrong computing skills including in programming in RDesirable criteriaPotential to generate collaboration and funding from external bodiesSpecific Role Enquiries: Professor Hanlin Shang via email ****** Enquiries: Mirna Alaaiddin, Talent Acquisition Officer ****** Closing Deadline: Sunday, 19 January 2025 at 11:59 PM AESTIf you're already part of the Macquarie Group (MQ University, U@MQ, MQ Health, MGSM), you'll need to apply through your employee Workday account.Applications Close:19/01/2025 11:59 PMDiversity and InclusionInnovation and ingenuity thrive at Macquarie University when diversity, equity and inclusion take centre stage. At the University, we embrace a culture where diversity of background, experience and perspective are fundamental to our success.We do not discriminate on gender identity, age, culture, disability, sexuality, Indigeneity, family and caring responsibilities or religion.Flexible WorkAt Macquarie, we believe by providing flexibility in when, where and how work is done, we can support our staff to manage their personal commitments, while optimising their work performance and contributions to the University.
#J-18808-Ljbffr