Research Fellow

Research Fellow

Job No. :

Location : Caulfield campus

Employment Type : Full-time

Duration : 12-month fixed-term appointment

Remuneration : $118,974 - $141,283 pa Level B (plus 17% employer superannuation)

• Amplify your impact at a world top 50 University
• Join our inclusive, collaborative community
• Be surrounded by extraordinary ideas - and the people who discover them

About Us

The Department of Econometrics and Business Statistics at Monash University is globally recognised for its excellence in research and teaching. Our department is a leader in developing cutting-edge methodologies in econometrics and statistics, with expertise spanning time series analysis, Bayesian inference, financial econometrics, and data analytics.

As home to one of the strongest forecasting research groups worldwide, we attract international scholars, PhD students, and Research Fellows, contributing to innovative research that shapes the field. Ranked among the top 10 institutions in Econometrics, Time Series, and Forecasting by IDEAS, our department has consistently received the highest research rating from the Australian Research Council (ARC). We offer a comprehensive curriculum across undergraduate and postgraduate programs, ensuring a rigorous foundation in quantitative disciplines while maintaining strong industry and research partnerships.

About The Research Fellow Opportunity

This is an exciting opportunity for a Level B Research Fellow to contribute to a cutting-edge Australian Research Council (ARC) Discovery project focused on forecast reconciliation. As a research-focused academic, you will engage in independent and collaborative research, developing expertise that enhances decision-making frameworks and optimises reconciliation processes in real-world business settings.

The project will be multidisciplinary in nature, cutting across statistics, econometrics, operations research and data science. Specific project outcomes relate to multiobjective optimisation, expected shortfall and conformal inference, while the production of open source software is critical to ensure that project outcomes are translated to industry practice. Candidates with skills aligned to the project, will be highly competitive and will relish the opportunity to make a meaningful impact in their field

About You

You are a highly motivated researcher with a strong foundation in statistical analysis, manuscript preparation, and research proposal development, backed by a track record of refereed research publications. Your ability to work independently and within interdisciplinary teams enables you to drive impactful research while fostering a collegial and supportive environment. You possess excellent organisational, written, and oral communication skills, ensuring efficiency in project execution and academic engagement.

With your proficiency using analytical software such as R or Python, you are equipped to make a significant positive impact within our research team!

About Monash University

At Monash, work feels different. There’s a sense of belonging, from contributing to something groundbreaking – a place where great things happen.

We value difference and diversity, and welcome and celebrate everyone's contributions, lived experience and expertise. That’s why we champion an inclusive and respectful workplace culture where everyone is supported to succeed.

Together with our commitment to academic freedom, you will have access to quality research facilities, infrastructure, world-class teaching spaces, and international collaboration opportunities.

Learn more about Monash.

Be part of our story. Work with us to #ChangeIt.

Monash supports flexible and hybrid working arrangements. We have a range of policies in place enabling staff to combine work and personal commitments. This includes supporting parents.

To Apply

Diversity is one of our greatest strengths at Monash. We encourage applications from Aboriginal and Torres Strait Islander people, culturally and linguistically diverse people, people with disabilities, neurodivergent people, and people of all genders, sexualities, and age groups.

For instructions on how to apply, please refer to 'How to apply for Monash Jobs'.

We are committed to fostering an inclusive and accessible recruitment process at Monash. If you need any reasonable adjustments, please contact us at

Enquiries : Professor Anastasios Panagiotelis, Chief Investigator,

Position Description :  Research Fellow

Applications Close :  Sunday 3 August 2025, 11 : 55pm AEDT

Your employment is contingent upon the satisfactory completion of all pre-employment and / or background checks required for the role, as determined by the University.