Publisher
source

Mahsa Salehi

4 days ago

PhD in AI and Brain EEG Foundation Models at Monash University Monash University in Australia

Degree Level

PhD

Field of study

Computer Science

Funding

Full funding available

Deadline

Aug 30, 2026

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Country

Australia

University

Monash University Malaysia.

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Keywords

Computer Science
Data Science
Cognitive Science
Artificial Intelligence
Time Series Analysis
Neuropsychology
Statistics
Machine learning

About this position

Monash University’s Temporal Analytics Lab is advertising a PhD opportunity focused on the intersection of artificial intelligence and the brain, with a specific research direction in developing foundation models for EEG data.

The project is based at Monash University and involves collaboration with industry partner EMOTIV, offering a real-world applied research setting alongside cutting-edge work in machine learning, time-series analysis, and data science. The post is shared by Mahsa Salehi, Senior Lecturer at Monash University, and references the Temporal Analytics Lab and the Department of Data Science and Artificial Intelligence within Monash Information Technology.

This is a PhD opening for a motivated candidate interested in AI for EEG/brain-signal research. The post does not specify funding, stipend, tuition coverage, or formal eligibility criteria beyond motivation and research fit, so applicants should infer a strong background or interest in AI/ML and brain data from the project description.

Application deadline: Sunday 30 August 2026, 11:55pm AEST.

How to apply: Review the LinkedIn announcement, assess fit with the Temporal Analytics Lab’s research, and submit your PhD application before the deadline. If needed, use the announcer’s LinkedIn profile to identify the appropriate contact route.

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

More information can be found here

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