PhD Scholarship (Industry) - Privacy-Preserving AI for Human-Centric Video Analytics
Job No.
:******
Location:Clayton campus
Employment Type:Full time
Duration:The scholarship may be held for up to 3.5 years (full-time) for Research Doctorate (PhD) studies
Remuneration:The successful applicant will receive
A Research Living Allowance, at current value of $37,145 AUD per annum for PhD ***** rate with annual indexation)
Faculty of Information Technology Tuition Fee Scholarship (for international students only)
Industry Top-up scholarship of $10,000 per annum
FIT Candidature Funding of $4,000 for the duration of the candidature
Up to $1,265 from Monash Graduate Research Office as a one-off travel grant
Top-up government scholarship $7,135 per annum
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 opportunityyou 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:
Enquiries:Dr Deval Mehta, ******
Applications Close:Sunday 30 August ****, 11:55pm AEST
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.
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📌 Phd Scholarship (Industry) - Privacy-Preserving Ai For Human-Centric Video Analytics (Victoria)
🏢 Monash
📍 Victoria