Research Fellow in AI‑Driven Community Safety Research

Job No.:
685050

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)

• 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
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 following application areas:

• Computer vision
• Generative AI
• Natural language processing and modeling
• Forensic audio analysis and/or speech processing

As the successful candidate you will be responsible for:

• 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

If you are passionate about using artificial intelligence for positive social impact and you would like to be part of cutting‑edge, transdisciplinary research applying AI in law enforcement, ethics, criminology, and community safety 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- 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:
Associate Professor Campbell Wilson, Department of Data Science and Artificial Intelligence,

Position Descriptions:
AiLECS Research Fellow - Level A

AiLECS Research Fellow - Level B

Applications Close:
Tuesday 28 October 2025, 11:55pm AEDT

Supporting a diverse workforce
For instructions on how to apply, click on the "Apply" button above for the full position description and instructions on how to apply for Monash jobs.