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Postdoctoral Research Fellow

extra holidays - extra parental leave - fully flexible
Remote: 
Hybrid
Contract: 
Experience: 
Expert & Leadership (>10 years)
Work from: 
Sydney (AU)

Offer summary

Qualifications:

PhD in statistics, data science, or related field, Strong publication record in statistics, Ability to supervise postgraduate students, Strong computing skills including R programming, Experience in presenting research findings.

Key responsabilities:

  • Support research of Professor Hanlin Shang
  • Collaborate with research group members
  • Develop tools for functional panel data
  • Investigate new modelling for functional data
  • Contribute to PhD and MRes supervision
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Job description

PRIMARY DETAIL

Postdoctoral Research Fellow in Functional Time Series Analysis

• Salary 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 researchers
• Build your academic networks
• Innovative and supportive environment

The Role

This 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 series

  • Investigating novel modelling and forecasting methods for functional panel data

  • Classification and improved prediction methods for functional panel data

  • Devising statistical methods for the analysis of heavy-tailed functional time series

About Us
Macquarie 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 Apply
To 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 Criteria

  • A PhD (completed or near completion) in statistics, data science, or a related field

  • A strong record of research achievements as evidenced by high-quality publications in statistics or a related field

  • Ability to supervise postgraduate students

  • Demonstrated ability to work independently and collaboratively

  • Experience in presenting research findings at scientific meetings

  • Strong written and oral communication skills

  • Strong computing skills including in programming in R

Desirable criteria

  • Potential to generate collaboration and funding from external bodies


Specific Role Enquiries: Professor Hanlin Shang via email at hanlin.shang@mq.edu.au

General Enquiries: Mirna Alaaiddin, Talent Acquisition Officer at mirna.alaaiddin@mq.edu.au

Application Closing Deadline: Sunday, 19 January 2025 at 11:59 PM AEST

If 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. To apply for this job: Login to Workday and go to the Careers App > Find Jobs.

Applications Close:

19/01/2025 11:59 PM

Diversity and Inclusion

Innovation 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. See our journey towards leadership in Equity, Diversity and Inclusion in Higher Education.

Flexible Work
 

At 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. See how we lead in flexible work to enable an outcome focused and inclusive workplace. To learn more about our culture and hiring process, explore our Candidate Resource Hub.  

Required profile

Experience

Level of experience: Expert & Leadership (>10 years)
Industry :
Education
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Computer Literacy
  • Non-Verbal Communication
  • Collaboration

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