In-Demand Master data Jobs in Keysborough, Vic

AI PhD Opportunity: Foundation Models for Brain Data
Monash University —Clayton VIC
- Full-time
- Laboratory
- Doctoral degree
- Research
Supply Chain Master Data & ASN Specialist
Bunnings —Hawthorn East VIC
- Full-time
- Analysis skills
- Café
- Communication skills
- Parental leave
1d
PhD Scholarship in Multimodal Federated Learning and Medical Image Analysis
Monash University —Clayton VIC
- Full-time
- Data analysis skills
- English
- Research
Supply Planner
Blackmores Group —Braeside VIC
- Full-time
- Microsoft Excel
- Analysis skills
- Bachelor's degree
11d
Centre for Health Economics, Monash Business School, Integrated PhD Program 2026
Monash University —Caulfield VIC
- Full-time
- Doctoral degree
- Master's degree
- Bachelor's degree
Chromatography Data Systems Specialist (CDSS) ANZ
Thermo Fisher Scientific —Scoresby VIC
- Full-time
- Doctoral degree
- Laboratory experience
- Master's degree
- Parental leave
- Employee assistance program
Financial Accountant - Leasing & Assets
KOR Equipment Solutions —Mulgrave VIC
- Full-time
- Finance
- In-person
- Free parking
Quick Apply
23h
PhD Scholarship opportunity: Applied Economics on Patient-Centred Evaluation of medical devices (PACE)
Monash University —Caulfield VIC
- Full-time
- Research
- Master's degree
- Administrative experience
PhD Scholarship (Industry) - Privacy-Preserving AI for Human-Centric Video Analytics
Monash University —Clayton VIC
- Full-time
- Computer science
- Research
- Master's degree
Year 7-10 Maths Tutor
Contour Education —Narre Warren VIC
- $45 - $65 an hour
- Weekend availability
- Senior Secondary Certificate of Education
- University
- Education
Year 7-10 Maths Tutor - Narre Warren
Contour Education —Narre Warren VIC
- $45 - $65 an hour
- Part-time
- Senior Secondary Certificate of Education
- University
- Education
Quick Apply
Junior Food Technologist - R&D
Lactalis Australia —Rowville VIC
- Contract
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- Master's degree
2d
Senior Automation & Controls Engineer
Lyka —Dandenong VIC
- Full-time
- Management
- In-person
- Parental leave
Quick Apply
12d
IT Product Manager - Supply Chain EWM
Cummins Inc. —Scoresby VIC
- Computer Science
- No degree
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Senior Consultant Workday Adaptive Planning
QMetrix —Mulgrave VIC
- Full-time
- Hybrid work
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- Work from home
Quick Apply
Business Development
Cloud Factory —Glen Waverley VIC
- On call
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- Microsoft Excel
Customer Service Representative
Thermo Fisher Scientific —Scoresby VIC
- Full-time
- ERP systems
- Communication skills
- Parental leave
- Employee assistance program
PhD Scholarship in Adaptive Soft-Mist Inhaler Technology
Monash University —Clayton VIC
- Full-time
- CAD
- English
- Research
8d
Student Success Representative
Contour Education —Glen Waverley VIC
- $55,000 - $75,000 a year
- Part-time
- Hybrid work
- Senior Secondary Certificate of Education
- Education
- AI
- Employee assistance program
PhD Scholarship - Global Health Economics
Monash University —Caulfield VIC
- Research
- Master's degree
- University

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AI PhD Opportunity: Foundation Models for Brain Data

Monash University -
Clayton VIC

Apply Now

Job Details

Full-time

Qualifications

Doctoral degree
Signal processing
Bachelor honours degree
Research
Master's degree
Analysis skills
Bachelor's degree
Machine learning
Deep learning
AI
Analytics

Full Job Description

The Opportunity

This is an unprecedented opportunity for an outstanding data science and AI PhD candidate interested in brain data analysis and AI, supervised by Dr Mahsa Salehi at Monash University. The successful candidate will join our world-leading team in Temporal Analytics Lab, a world leading research group uniquely combining research in time series forecasting, classification, segmentation, anomaly detection and learning in the context of non-stationary distributions. The candidate will also be connected to the Faculty of Information Technology.

The Temporal Analytics Lab, directed by Dr Mahsa Salehi, is home to a range of innovative tools and projects – including the only current AI-focused Australian Laureate initiative led by world-renowned expert Distinguished Professor Geoff Webb, developing AI systems that can understand a continuously changing world. The Temporal Analytics Lab focuses on understanding patterns, making predictions and detecting unusual behaviour in data over time – driving outcomes such as proactive healthcare, reliable disaster predictions and thriving societies.

Emotiv, a global neurotechnology company, will provide $10,000 p.a. stipend top-up and $2,000 p.a. travel support, plus access to $50,000 worth of neurotechnology facilities, computing resources, and AI infrastructure.

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).

The ideal PhD candidate will have:

A strong background in machine learning, deep learning, and signal processing
Proficiency in Python and machine learning frameworks such as PyTorch (required)
Knowledge of neural networks, transformers, and representation learning techniques (desirable)
Experience in time-series modelling, biosignal analysis, or neuroscience (advantageous but not essential)
Strong analytical skills, curiosity for interdisciplinary research, and the ability to collaborate effectively with both academic and industry teams

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

The Project

We invite applications from outstanding PhD candidates with an undergraduate or postgraduate qualification in a computing discipline such as data science, artificial intelligence, machine learning or computer science.

which has included training in qualitative research.

This project aims to develop a scalable EEG foundation model capable of learning general-purpose representations of brain activity that can support diverse neurotechnology and multimodal AI applications. Specifically, the project objectives are as follows:

To develop a general-purpose EEG foundation model that learns unified representations of brain activity from large and diverse EEG datasets with different configurations (e.g., number of channels, sampling frequency and resolution).

To leverage large-scale self-supervised learning to train models on unlabeled EEG data, reducing reliance on expensive manual annotations.

To improve cross-device and cross-task generalisation, enabling models trained on one dataset or device to adapt to others with minimal retraining.

To improve detection and monitoring of medical conditions by leveraging new or existing medical datasets

To support multimodal brain–AI applications, exploring how EEG representations can interact with language and visual models for tasks such as EEG-to-text decoding and EEG-guided generative systems.

This project is expected to develop a novel EEG foundation model capable of learning unified representations of brain activity from heterogeneous datasets. The research will leverage large-scale EEG recordings collected from multiple devices and experimental paradigms through collaboration with Emotiv, a global neurotechnology company.

The resulting model will support applications such as cognitive state estimation, brain–computer interfaces, and mental wellbeing monitoring. The learned representations will also enable integration with language and vision models, supporting emerging capabilities including EEG-to-text decoding and AI-driven neurotechnology applications.

This position has a two-stage selection process:

Stage 1: Please submit [email protected].

With the EOI please include the documents - CV, academic transcripts, a cover letter and a draft research proposal of up to 2 pages, responding to one or more of the above research objectives.

The draft research proposal should outline your interest in being a PhD candidate within the Temporal Analytics Lab and summarise the theoretical and methodological approaches you are interested in pursuing, such as self-supervised learning, representation learning, transformers, and multimodal (brain–language and brain–vision) modelling.

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

Enquiries: Dr Mahsa Salehi, [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

master data jobs in keysborough, vic

AI PhD Opportunity: Foundation Models for Brain Data

Supply Chain Master Data & ASN Specialist

PhD Scholarship in Multimodal Federated Learning and Medical Image Analysis

Supply Planner

Centre for Health Economics, Monash Business School, Integrated PhD Program 2026

Chromatography Data Systems Specialist (CDSS) ANZ

Financial Accountant - Leasing & Assets

PhD Scholarship opportunity: Applied Economics on Patient-Centred Evaluation of medical devices (PACE)

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

Year 7-10 Maths Tutor

Year 7-10 Maths Tutor - Narre Warren

Junior Food Technologist - R&D

Senior Automation & Controls Engineer

IT Product Manager - Supply Chain EWM

Senior Consultant Workday Adaptive Planning

Business Development

Customer Service Representative

PhD Scholarship in Adaptive Soft-Mist Inhaler Technology

Student Success Representative

PhD Scholarship - Global Health Economics

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