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Muneeb Ul Hassan

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PhD Scholarship

PhD Scholarship in Securing AI-Enabled Cyber-Physical Systems, Cybersecurity and Privacy Preservation Deakin University in Australia

Degree Level

PhD

Field of study

Computer Science

Funding

Full funding available
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Country

Australia

University

Deakin University

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Official Email

[email protected]

Keywords

Computer Science
Electrical Engineering
Information Technology
Deep Learning
Mathematics
Artificial Intelligence
Cybersecurity
Anomaly Detection
Privacy-preserving Techniques
Robotics
Machine learning

About this position

Deakin University in Australia is advertising a PhD scholarship opportunity in Securing AI-Enabled Cyber-Physical Systems, with a research focus on cybersecurity, anomaly detection, and privacy preservation.

The scholarship is associated with Dr. Muneeb Ul Hassan, Assistant Professor (Lecturer) in Cybersecurity at Deakin University. The post indicates a highly competitive opportunity for candidates interested in machine learning, deep learning, AI, and privacy-preserving techniques applied to cyber-physical systems.

Funding: The scholarship provides a stipend of A$37,450 per annum tax exempt (2026 rate).

Eligibility highlights: Applicants should hold a Bachelor's or Master's degree in Computer Science, Software Engineering, Electrical Engineering, or a closely related discipline. A minimum CGPA of 3.70/4.0 is required, and applicants must have at least one first-author publication in a Q1 journal or A-ranked conference.

How to apply: Email a detailed CV and publications to [email protected] with the subject line Prospective PhD Applicant in Cybersecurity.

This is a strong fit for students with research interests in cybersecurity, AI, anomaly detection, privacy-preserving methods, and cyber-physical systems at Deakin University.

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.

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