In-Demand Ai healthcare Jobs in Melbourne Vic

PhD Scholarship (Industry) - Privacy-Preserving AI for Human-Centric Video Analytics
Monash University —Clayton VIC
- Full-time
- Computer science
- Research
- Master's degree
2d
AI PhD Opportunity: Foundation Models for Brain Data
Monash University —Clayton VIC
- Full-time
- Laboratory
- Doctoral degree
- Research
2d
Expression of Interest — Heidi Entry Program
Heidi —Melbourne VIC
- Full-time
- Hybrid work
Data Business Analyst - Data & AI
For Purpose Aged Care —Cheltenham VIC
- Remote
- Data analysis skills
- SQL
- No degree
- Work from home
- Employee assistance program
12d
Vacationer Program | T&T | Engineering, Artificial Intelligence & Data | Melbourne | 2026
Deloitte —Melbourne VIC
- Administrative experience
- AI
- Business
- Parental leave
Casual Robot Companion Facilitator - Metro Based
Andromeda Robotics —South Melbourne VIC
- Contract
- Public speaking
- Communication skills
Quick Apply
PhD Scholarship in Multimodal Federated Learning and Medical Image Analysis
Monash University —Clayton VIC
- Full-time
- Data analysis skills
- English
- Research
Senior Research Fellow, Australian Centre for AI in Medical Innovation
La Trobe University —Bundoora VIC
- From $144,266 a year
- Full-time
- Doctoral degree
- Research
- Working with children
8d
Research Fellow - Federated & Multimodal Learning
Monash University —Clayton VIC
- $123,138 - $146,228 a year
- Full-time
- Hybrid work
- Research
- AI
Associate Professor (Research), Australian Centre for AI in Medical Innovation
La Trobe University —Bundoora VIC
- From $172,864 a year
- Full-time
- Doctoral degree
- Working with children
- Recruiting
8d
Administration & HR Officer
GUARDIAN HEALTHCARE SERVICES PTY LTD —Coburg VIC
- $35 - $38 an hour
- Monday to Friday
- Microsoft Word
- Microsoft Excel
- Microsoft Outlook
- Travel reimbursement
- Health insurance
Quick Apply
2d
Expression of Interest (AU)
Heidi —Melbourne VIC
- Full-time
- Hybrid work
Medical Information & Operations Associate
Chiesi Farmaceutici —Melbourne VIC
- Contract
- Research
- AI
- Communication skills
- Health insurance
10d
AI Orchestration Engineer
RecordPoint —Melbourne VIC
- Full-time
- Hybrid work
- Salesforce
- Master's degree
- AI
Quick Apply
Trainee Case Manager - Workers Compensation
1602 DXC INT SVCS VIC PTY LTD —Melbourne VIC
- Full-time
- Customer service
- Administrative experience
- In-person
10d
Technical Program Manager, Integrations
Heidi —Melbourne VIC
- Full-time
- Hybrid work
- Bachelor's degree
- EMR systems
- SharePoint
Head of Data & Analytics
Jewish Care Victoria —Melbourne VIC
- $15,900 a year
- 12 hour shift
- AI
- Communication skills
- Analytics
- Employee assistance program
- Referral program
Technical Implementation & Support Engineer (APAC)
Nicolab —Melbourne VIC
- $120,000 - $150,000 a year
- Part-time
- Remote
- AWS
- Education
- Bachelor's degree
- Annual leave
- Referral program
Quick Apply
Senior Test Analyst - Melbourne
KJR —Melbourne VIC
- Contract
- Management
- Salesforce
- SQL
Health & Clinical Consultant
Cognizant —Melbourne VIC
- Full-time
- Hybrid work
- Nursing
- Medicine
- Bachelor's degree
12d

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PhD Scholarship (Industry) - Privacy-Preserving AI for Human-Centric Video Analytics

Monash University -
Clayton VIC

Apply Now

Job Details

Full-time
2 days ago

Qualifications

Computer science
Bachelor honours degree
Computer vision
Deployment
Research
Master's degree
Analysis skills
Bachelor's degree
Machine learning
Deep learning
AI
Communication skills

Full Job Description

The Opportunity

An exciting opportunity is available for an outstanding PhD candidate to undertake an Industry Linked PhD at Monash University in collaboration with Aervision Pty Ltd, an Australian AI company developing advanced video analytics solutions for critical infrastructure, public safety and smart environments. The successful candidate will be supervised by Dr Deval Mehta within the Department of Data Science & AI, Faculty of Information Technology, Monash University.

This project is funded through the Australian Government National Industry PhD Program and provides a unique opportunity to conduct cutting-edge AI research while working closely with industry to translate research into real-world products. The candidate will spend part of their candidature embedded within Aervision's research and development team, gaining hands-on experience in commercial AI development, product deployment and research translation.

To be considered for this opportunity you should fulfil the eligibility requirements listed below. The academic qualification requirements for this PhD is:

A bachelor’s degree of at least four years in a relevant discipline, which includes a research thesis or project, with a minimum overall average grade of an honours degree equivalent to the First Class Honours; or
A master's degree in a relevant discipline which includes a research thesis or project equivalent to at least 25 percent of one year of full-time study, with a minimum overall average grade of honours equivalent to the First Class Honours; or
A qualification, or combination of qualifications and relevant professional experience, deemed equivalent by the GRC (or delegate).

Monash University strongly advocates diversity, equality, fairness and openness. We fully support the gender equity principles of the Athena SWAN Charter.

The Project

Modern video analytics systems must be accurate, privacy-preserving and capable of adapting to new environments without extensive retraining. Existing approaches often struggle with understanding complex human behaviour while satisfying privacy and real-time deployment requirements.

This PhD project aims to develop next-generation foundation models for privacy-preserving human-centric video analytics.

Research directions will include:

Human action and activity recognition
Individual and group behaviour understanding
Long-term behaviour prediction
Multi-task learning and foundation models
Zero-shot and open-set recognition
Privacy-preserving AI using anonymised human representations
Efficient AI deployment on edge devices
Real-world AI systems for security, healthcare and smart environments

The research will utilise anonymised industry datasets and be validated using Aervision's commercial AI platforms, providing a direct pathway from research to deployment. The project will contribute to Australia's capability in trustworthy and responsible AI while advancing commercially deployable video analytics technologies.

Candidate Profile

We are seeking highly motivated applicants with a strong academic background in computer science, data science and artificial intelligence. Applicants should ideally have experience in:

Essential

Deep learning and machine learning
Computer vision
Python programming
PyTorch or TensorFlow
Strong mathematical and analytical skills

Desirable

Video understanding
Human action recognition
Vision-language or foundation models
Privacy-preserving AI
Large-scale model training
Publications in leading AI conferences or journals (CVPR, ICCV, AAAI, NeurIPS, and equivalent)

Excellent communication skills and enthusiasm for both academic research and industry collaboration are highly desirable.

Why Join This Project?

This scholarship provides:

An Australian Government Industry PhD Scholarship
Direct collaboration with an innovative Australian AI company
Access to large-scale real-world industry datasets
Industry placement throughout the PhD
Access to Monash University's high-performance computing infrastructure
Opportunities to publish in leading AI conferences and journals (CVPR, ICCV, AAAI, NeurIPS, and equivalent)
Training in research commercialisation and technology translation
Strong employment prospects in both academia and industry

This position has a two-stage selection process:

Stage 1: Please submit an EOI to [email protected].

With the EOI please include the documents - CV, academic transcripts and cover letter - and a draft research proposal of up to 5 pages, responding to your proposed plan for building Privacy-Preserving AI for Human-Centric Video Analytics.

The draft research proposal should demonstrate a clear description of the current problems in video analysis, a clear proposed framework to mitigate those issues, highlight the components of novelty and innovation in this domain. It should also outline your interest in being a PhD candidate at the Department of Data Science & AI and why this particular project interests you.

Stage 2: Candidates who pass this stage of the selection process will be invited to discuss their ideas with Dr Deval Mehta before developing and submitting a full application.

Enquiries: Dr Deval Mehta, [email protected]

Applications Close: Sunday 30 August 2026, 11:55pm AEST

We will begin the interview process as soon as suitable applications are received, so applicants are encouraged to apply early. We will not wait until the closing date to start shortlisting and interviews.

Supporting a diverse workforce

Apply Now

Refine Your Search

ai healthcare jobs in melbourne vic

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