Research Fellow in AI‑Driven Community Safety Research
Location: Clayton campus
Employment Type: Full-time
Duration: 2-year fixed-term appointment
Remuneration: $83,280 - $113,025 pa Level A / $118,974 - $141,283 pa Level B (plus 17% employer superannuation)
The Opportunity
The Artificial Intelligence for Law Enforcement and Community Safety (AiLECS) Lab is a partnership between Monash University, the Australian Federal Police, and industry. Along with a technical focus, the lab conducts transdisciplinary research that addresses the sociological, criminological, legal and ethical issues inherent in artificial intelligence application to law enforcement. Our research contributes to areas of community safety research including, but not limited to, child protection, fighting organised crime and online threat detection.
We are currently seeking a Research Fellow with experience in AI and machine learning research and development, with a focus on any or all of the following application areas:
* Computer vision
* Generative AI
* Natural language processing and modeling
* Forensic audio analysis and/or speech processing
Responsibilities
* Translating research into practice by working with AiLECS stakeholders to understand real-world problems and applying research techniques to develop solutions
* Working with a team of software engineers, multidisciplinary researchers and external stakeholders
* Contribute to new project ideas
Qualifications and Experience
Experience in AI and machine learning research and development with interest in applying these techniques to law enforcement, ethics, criminology and community safety is desired.
Why Monash
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. We champion an inclusive and respectful workplace culture where everyone is supported to succeed. We have a global presence with campuses in Australia, Malaysia and Indonesia, and collaborations worldwide. Monash consistently ranks among the world's top universities.
Monash supports flexible and hybrid working arrangements and has policies enabling staff to balance work and personal commitments, including supporting parents.
How to Apply
Your application must address the Key Selection Criteria. For instructions on how to apply, please refer to the Monash Jobs site. Diversity is one of our greatest strengths; we welcome 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. If you need reasonable adjustments, please contact hr-recruitment@monash.edu.
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
Associate Professor Campbell Wilson, Department of Data Science and Artificial Intelligence, Campbell.Wilson@monash.edu
Position Descriptions
AiLECS Research Fellow - Level A
AiLECS Research Fellow - Level B
Application Deadline
Applications Close: Tuesday 28 October 2025, 11:55pm AEDT
Supporting a diverse workforce
We are committed to fostering an inclusive and accessible recruitment process. If you require reasonable adjustments, please contact hr-recruitment@monash.edu.
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