Summer Sale

Up to 30% off — ends 2 Aug

ONLY00h00m00s

Publisher
source

Monash University Malaysia

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 available
Country flag

Country

Malaysia

University

Monash University Malaysia

Social connections

How do I apply for this?

Sign in for free to reveal details, requirements, and source links.

Apply for this position

Keywords

Computer Science
Biomedical Engineering
Electrical Engineering
Medical Imaging
Deep Learning
Biology
Computer Vision
Python Programming
Medical Science
Semantic Segmentation
Text Classification
Breast Imaging
Machine learning

Suggested positions

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

Ask ApplyKite AI

Start chatting
Can you summarize this position?
What qualifications are required for this position?
How should I prepare my application?