Casual Senior Research Officer - Interactive Machine Learning Web Development

Job No.: 697404

Location: Clayton campus

Employment Type: Casual

Duration: 16-weeks

Remuneration: HEW 7, $65.09 per hour (loaded casual rate)

- Amplify your impact at a world top 50 University through innovative technical support
- Join our inclusive, collaborative community delivering high-quality learning
- Be surrounded by extraordinary ideas - and the people who discover them

The Opportunity

Psychology has an exciting opportunity for a Casual Senior Research Officer to contribute to an interactive web platform showcasing three Huntington's disease neuroimaging machine-learning models. The position will design, build and document a responsive, serverless platform enabling Python-based models, including scikit-learn, LightGBM and PyTorch, to be demonstrated through browser-based inference. The role will provide specialist expertise across web development, machine learning deployment and interactive visualisation to deliver an accessible and engaging research platform.

The position will undertake model conversion and deployment using technologies such as ONNX Runtime Web, JavaScript and WebAssembly, while developing interactive controls and 3D visualisations. Responsibilities include validating browser-based outputs against Python reference predictions, benchmarking performance, testing cross-browser compatibility and optimising application performance. The role will maintain a structured GitHub repository, establish automated deployment workflows, develop user and developer documentation and deliver technical handover, while contributing to project planning and milestone management.

We are seeking someone with a relevant degree and extensive experience,



with demonstrated skills in open-source research software, responsive web development, scientific data visualisation and browser-based machine-learning deployment. Strong Python, JavaScript/TypeScript, HTML, CSS and Git/GitHub skills, together with experience in testing and automated deployment are also highly relevant. Strong analytical, problem-solving, organisational and communication skills are important, with experience in 3D visualisation, medical or neuroimaging, or health-related web design highly regarded.

This is an opportunity to contribute specialist technical expertise to an innovative research platform and support the translation of machine-learning research into an accessible and practical digital resource. Applications are encouraged from candidates with the technical expertise and research focus to make a valuable contribution to this project.

Monash University seeks applicants for this opportunity who are able to demonstrate present valid and current Australian work rights.

About Monash University

At , work feels different. There's a sense of belonging, from contributing to something ground breaking - a place where outstanding things happen.

We value difference and , and welcome and celebrate everyone's contributions, lived experience and expertise. That's why we champion an 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 in rankings including the QS World University Rankings 2026.

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Today, we have the 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 .

To Apply

For instructions on how to apply, please refer to ' '. Please ensure your cover letter clearly outlines how your skills and experience align with the requirements of this role. Applicants are also encouraged to provide links to interactive websites or web applications they have developed or substantially contributed to.

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.

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: Dr Mohsen Ghofrani-Jahromi,

Position Description:

Applications Close: Thursday 27 August 2026, 11:55pm AEST

Supporting a diverse workforce

📌 Casual Senior Research Officer - Interactive Machine Learning Web Development (City of Monash)
🏢 Monash University
📍 City of Monash