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Research Fellow in Temporal Analytics

Job No.: 685774

Location: Clayton campus

Employment Type: Full-time 

Duration: 5-year fixed-term appointment (until 5 October 2030)

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

The Opportunity

We are seeking a talented and motivated Research Fellow to join the Department of Data Science and Artificial Intelligence (DSAI) and contribute to Professor Geoff Webb’s Australian Laureate Fellowship research project Temporal Analytics for a Complex, Dynamic and Ever‑Changing World. You will be responsible for developing new temporal analysis methods, implementing software that embodies those methods, evaluating those methods, writing academic papers, applying for research grants and supervising research students and staff.

The Research Fellow will develop temporal analysis algorithms and techniques and design, implement, test, and maintain software/tools embodying those methods. You will prepare and submit grant proposals to external funding bodies. This position will also evaluate methods via experiments, benchmarking, simulation and/or real‑world data.

The successful candidate will have:

  • A PhD in Statistics, Data Science, Computer Science, Mathematics, or a related field with strong emphasis on temporal analytics, such as time series classification, or a closely related area

  • Evidence of impactful research with published outputs in peer‑reviewed journals

  • Experience in software development (prototyping / production) implementing novel analytical methods

  • Skills in evaluating and benchmarking methods: designing experiments, handling and analysing large and complex datasets

  • Experience of writing successful grant applications (or clear potential to do so)

  • Experience of supervising or mentoring research staff or students (or clear potential to do so)

  • Strong communication skills (written and verbal), ability to collaborate effectively.

If you would like to be part of an impactful cutting‑edge research project focused on solving pressing challenges of modeling temporal dynamics in complex systems then apply today!

About Monash University

At Monash, work feels different. There’s a sense of belonging, from contributing to something ground breaking – 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.

Some 20,000 staff work for Monash around the world. We have 95,000 students, four Australian campuses, and campuses in Malaysia and Indonesia. We also have a major presence in India and China, and a significant centre and research foundation in Italy.

In our short history, we have skyrocketed through global university rankings and established ourselves consistently among the world's best tertiary institutions. We rank in the world’s top-50 universities in rankings including the QS World University Rankings 2026.

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.

Today, we have the momentum to create the future we need for generations to come. Accelerate your change here. 

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

For instructions on how to apply, please refer to 'How to apply for Monash Jobs'. Your application must address the Key Selection Criteria.

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.

We are committed to fostering an inclusive and accessible recruitment process at Monash. If you need any reasonable adjustments, please contact us at hr-recruitment@monash.edu in an email titled 'Reasonable Adjustments Request' for a confidential discussion.

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.

Enquiries: Professor Geoff Webb, Department of Data Science and Artificial Intelligence, Faculty of Information Technology, Geoff.Webb@monash.edu 

Position Description: Research Fellow

Applications Close: Tuesday 11 November 2025, 11:55pm AEDT

Supporting a diverse workforce



Monash University recognises that its Australian campuses are located on the unceded lands of the people of the Kulin nations, and pays its respects to their elders, past and present.