Research Associate in Statistical Modelling

PRIMARY DETAIL

• Level A: $112,550 - $120,621 per annum, plus 17% superannuation and annual leave loading

• Full-time, fixed-term position for three years

• Based at Macquarie University, Wallumattagal Campus, North Ryde

Macquarie University is hiring for a Research Associate in Statistical Modelling. This role is open to application by statisticians or data scientists who have a strong research interest and growing reputation in statistical modelling or cognate fields with demonstrated interest in interdisciplinary and/or applied research.

The successful candidate will support the research of Professor Samuel Muller, Executive Dean of Faculty of Science and Engineering, and will collaborate with members of his research group which is co-directed by Dr Houying Zhu. 

About the role

As a Research Associate in Statistical Modelling, you will play a key role in advancing high-quality research in one or more of the following areas. You will contribute to the supervision of PhD and Master of Research (MRes) students and support, and where appropriate lead, statistical consulting activities that foster collaboration across the University and with external partners. Your key responsibilities consist of:

• Developing model visualisation methods to enable interactive and dynamic model building.

• Robust selection and estimation in regression type models.

• Variable selection and inference for statistically challenging data, including longitudinal, clustered and correlated univariate and multivariate responses.

• Investigating theoretical properties of regularization methods in various asymptotic scenarios and improving these methods by learning from resampling-based stability information.

• Classification and improved prediction methods for multiplatform data.

• Devising statistical methods for the analysis of multi-layered and structured data in bioinformatics, microbiome and neuroscience applications. 

About us

An inclusive community in scientific collaboration. Here at the School of Mathematical and Physical Sciences, Mathematics and statistics drive breakthroughs in technology and data science, while physics and astronomy seek to understand matter and the Universe, everything from quarks to galaxy clusters.

We collaborate closely with local, national, and international organisations and companies across the diverse mathematical and physical sciences fields. Please see the link below for more information.

School of Mathematical and Physical Sciences | Macquarie Uni

About You (Selection Criteria)  

• A PhD in Statistical Modelling or a closely related discipline in Statistics, Data Science, Mathematics, or a related quantitative field.  

• Demonstrated ability to publish high-quality research in peer-reviewed scientific journals.  

• Ability to assist in the supervision of postgraduate research students.  

• Demonstrated capacity to work both independently and collaboratively within a research team.  

• Experience presenting research findings at seminars, conferences, and/or other scientific meetings.  

• Strong written and verbal communication skills.  

• Advanced computational and programming skills, particularly in R.  

• Demonstrated ability to attract external research funding through grant applications and/or contribute to funded collaborative research projects with internal and external partners. (Desirable) 

• Research experience in statistical modelling for high-dimensional and complex data, including areas such as variable selection, Bayesian methods, or related methodologies. (Desirable)   

• Experience in developing statistical software, reproducible research workflows, or opensource research tools. (Desirable) 

How to apply

To be considered for this role, candidates are requested to submit a resume and a separate cover letter addressing the selection criteria. You may also submit a Research Statement outlining your research achievements to date and their future research directions.

Applications Close

Applications for this role will close on 10th August at 11.00 PM AEST.  

Role specific enquiries: Dr Houying Zhu, Senior Lecturer in Statistics via email [email protected].

Why Join Us?

Macquarie is a university engaged with the real and often complex problems and opportunities that define our lives. Since our foundation over 60 years ago, we have aspired to be a different type of university. Over the years, we have grown to become the centre of a vibrant local and global community. Connect with us today.

We rank amongst the top employers in the Australian Workplace Employers Index. Explore the fantastic benefits available to you when you become part of the team at Macquarie University.

• Flexible, hybrid work arrangements

• 17% Superannuation

• Subsidised onsite parking options

• Extensive training and professional development programs

• Onsite childcare facilities to support working parents

• Onsite vacation care during school holidays

• Discounted health insurance

• Subsidised membership at our Sport & Aquatic Centre

• Access to an Employee Assistance Program for free and confidential support

• Convenient onsite GP, imaging, and physiotherapy clinics

Pre-Employment Checks

Macquarie University cultivates a workplace defined by safety, ethical conduct, and strong integrity. Prior to completion of an offer of employment, preferred candidates will be required to participate in a combination of pre-employment checks relevant to the role they have applied for.

Your employment is conditional upon the completion and maintenance of all role-required pre-employment or background checks in terms satisfactory to the University.

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:

10/08/2026 11:59 PM

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A Place Where You Belong
At Macquarie, we believe diversity makes us stronger, inclusion drives our success, and belonging inspires us to do our best work. We are proud to foster a community where different backgrounds, identities, and experiences are valued, and where our people are empowered to thrive through supportive leadership, shared responsibility, and a deep commitment to genuine care and respect for our community. Find out more about our vision for a truly inclusive workplace in our Diversity, Inclusion and Belonging Framework.