Farrukh Hassan Khan
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Fully Funded PhD Studentship in Artificial Intelligence, Machine Learning, Computer Vision, and Structural Health Monitoring at Sunway University Sunway University in Malaysia
Degree Level
PhD
Field of study
Computer Science
Funding
Full funding availableDeadline
December 31, 2026Country
Malaysia
University
Sunway University

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About this position
Sunway University is inviting applications for the PhD Studentship Scheme 2026 in research areas including Artificial Intelligence, Machine Learning, Computer Vision, and Structural Health Monitoring. This is a fully funded PhD opportunity for driven candidates who want to pursue research in advanced computing and engineering-related topics.
The post is shared by Farrukh Hassan Khan, Senior Lecturer at Sunway University, who appears to be the academic contact/announcer for this opportunity. The research themes suggest a strong fit for students interested in AI methods, vision-based systems, data-driven modeling, and monitoring of infrastructure or structural systems.
Eligibility highlights: applicants should have either a CGPA of at least 3.5 plus one journal article indexed in WOS/Scopus/ERA, or a CGPA of at least 3.75 plus evidence of an individual research project and completion of a research methodology course.
Funding: the post states that the PhD positions are fully funded. No further stipend, tuition, or allowance details are provided in the post.
Application deadline: 20-04-2026.
Interested candidates should use the provided form/QR code to apply for the Sunway University PhD Studentship Scheme 2026. Share this opportunity with colleagues or friends who match the research profile.
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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