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Monash University Malaysia.

Fully Funded PhD in Adaptive AI, Distributed AI, and Edge Intelligence for Autonomous Robots at Monash University Monash University

Degree Level

PhD

Field of study

Computer Science

Funding

Full funding available

Country

-

University

Monash University Malaysia.

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Keywords

Computer Science
Mechanical Engineering
Electrical Engineering
Information Technology
Artificial Intelligence
Robotics
Distributed System
Machine learning

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About this position

Monash University is advertising 2 fully funded PhD positions in an interdisciplinary cohort spanning the Faculty of Information Technology, the Faculty of Engineering, and industry partner NVIDIA, supported by the Monash AI Institute.

The projects sit at the intersection of Computer Science, Robotics, Information Technology, and related engineering fields. The research themes include intelligent and adaptive AI, distributed AI, edge intelligence, autonomous robots, context-aware AI optimisation, neuro-symbolic methods, and distributed orchestration across robot teams.

Project 1 focuses on context-aware AI optimisation within autonomous robots, developing efficient ML and neuro-symbolic methods so robots can adapt to contextual information and mission conditions. Project 2 focuses on distributed orchestration across robots, coordinators, and robot teams, developing methods for coordinating AI execution within robots, between robots and a central orchestrator, and across multi-robot systems.

Funding includes an annual stipend of approximately $37K per year (indexed annually), a tuition fee waiver for international students, travel support for conferences and workshops, and full health insurance. The post also highlights close collaboration with academic and industry supervisors and access to cutting-edge research and mentoring.

Eligibility: domestic and international students may apply, subject to Monash PhD admission criteria. Applicants should have a strong academic background in AI/ML, robotics, distributed systems, systems for AI/ML, or related areas, and should have at least one relevant publication in top conferences or journals (CORE A*/A, CCF Rank A). Shortlisted candidates will be invited to interview.

How to apply: complete the Google Form and email your application to [email protected] with the specified subject line. Attach your CV, transcripts, educational background, WAM for each degree, and research outputs. The post does not state a fixed deadline.

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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