Up to 30% off — ends 2 Aug
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Up to 30% off — ends 2 Aug
ONLY00h00m00s
Monash University Malaysia
1 month ago
Fully Funded PhD in Deep Learning for Medical Imaging at Monash University Malaysia Monash University Malaysia in Malaysia
Degree Level
PhD
Field of study
Computer Science
Funding
Full funding availableCountry
Malaysia
University
Monash University Malaysia

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About this position
Monash University Malaysia’s School of Engineering is advertising a fully funded PhD opportunity in Deep Learning / Machine Learning for Medical Imaging. The project focuses on applying AI methods to real-world healthcare imaging problems, including mammograms, CT scans, and related medical image data.
The research is well suited to candidates interested in computer vision, AI in healthcare, detection, segmentation, and classification. The post highlights practical experience with Python and frameworks such as PyTorch, TensorFlow, and OpenCV.
Funding includes a full tuition fee waiver and a monthly stipend of MYR 2,850. The opportunity is open to both Malaysian and international students.
Eligibility highlights: a Master’s degree or a 4-year Bachelor’s degree in Electrical Engineering, Computer Science, or a related field; first-class academic standing in the Bachelor’s and/or Master’s degree; strong mathematics and algorithms background; experience with deep learning for computer vision tasks; and good English communication skills.
How to apply: interested candidates should send an updated CV and academic transcripts to Dr. Maxine Tan at [email protected]. The post also references an “Apply Now” link on the announcement page.
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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