Australia – Fully Funded Phd In Machine Learning At Edith Cowan University

Australia – Fully Funded PhD in Machine Learning at Edith Cowan UniversityJoin to apply for the Australia – Fully Funded PhD in Machine Learning at Edith Cowan University role at PhDFinderAustralia – Fully Funded PhD in Machine Learning at Edith Cowan University2 days ago Be among the first 25 applicantsJoin to apply for the Australia – Fully Funded PhD in Machine Learning at Edith Cowan University role at PhDFinderGet AI-powered advice on this job and more exclusive features.University: Edith Cowan UniversityCountry: AustraliaDeadline: Not specifiedFields: Computer Science, Data Science, Electrical Engineering, Electronics Engineering, BioinformaticsAre you passionate about leveraging artificial intelligence to solve real-world problems in healthcare or environmental monitoring?
Do you aspire to advance your research career with a fully funded PhD at a leading Australian university?
Two exciting PhD scholarship opportunities at Edith Cowan University may be the stepping stone you are seeking.About The University Or Research InstituteEdith Cowan University (ECU), located in Perth, Western Australia, is renowned for its innovative research and commitment to excellence in higher education.
As a progressive institution, ECU is recognized for fostering interdisciplinary collaboration and industry partnerships, providing students with a vibrant academic environment and access to state-of-the-art facilities.
The university's strong emphasis on research impact and student support makes it an ideal destination for aspiring scholars from around the world.
Australia itself is known for its high quality of life, multicultural society, and robust academic infrastructure, offering international students a welcoming and enriching experience.Research Topic and SignificanceThe two available PhD projects focus on cutting-edge applications of machine learning and deep learning:A Machine Learning Approach for Predicting Coronary Artery Disease Risk Using Gut Microbiome Data.Development of a Deep Learning-Based Automatic Approach for Marine Habitat Monitoring from Remote Sensing and Visual Imagery.Also SeeAustralia – PhD in Machine Learning for Optimization at RMIT UniversityAustralia – PhD in Pacific History at Flinders UniversityAustralia – PhD in Data-Driven Modelling for Sustainable Energy at Curtin UniversityAustralia – International PhD Research Scholarships at Victoria UniversityAustralia – PhD in Artificial Intelligence at University of Technology SydneyBoth projects address critical societal needs.
The first project aims to revolutionize cardiovascular disease risk prediction by integrating gut microbiome data with advanced machine learning techniques, potentially transforming preventative healthcare and personalized medicine.
The second project seeks to automate marine habitat monitoring using deep learning and remote sensing, a crucial step for effective conservation and management of marine ecosystems in the face of climate change and human impact.
These research directions not only promise significant scientific advancements but also offer tangible benefits to public health and environmental sustainability.Project DetailsThe PhD Scholarships Are Tied To Projects Led By Dr. Syed Islam And Supported By a Team Of Associate Supervisors And Industry Partners– Project 1 (Coronary Artery Disease): Associate supervisors include Dr. MD Moniruzzaman, Viet Huynh, and Girish Dwivedi.
– Project 2 (Marine Habitat Monitoring): Associate supervisors include Amanda Hodgson and Simone Strydom.Both projects are part of the Edith Cowan University HDR scholarship 2026 main round and come with full tuition coverage and living allowances.
The research teams offer interdisciplinary expertise and strong industry links, ensuring robust academic and professional guidance for the selected candidates.Candidate ProfileEligible Applicants Should Meet The Following Criteria– Hold a Master's degree in Computer Science, Data Science, Electrical Engineering, or Electronics Engineering.
– Achieve a minimum CGPA of 3.5 out of 4.– Possess research publications in ISI/Scopus indexed Q1 ranked journals.
– Have valid English language proficiency scores (IELTS, PTE, or TOEFL).
Details: – Demonstrate strong computer programming skills.
– Exhibit basic knowledge of deep learning and generative AI.The ideal candidate is highly motivated, possesses a solid quantitative and analytical background, and is eager to apply advanced computational methods to either medical or environmental data.
A collaborative mindset and a genuine interest in interdisciplinary research are essential.Application ProcessTo Apply, Interested Candidates Should Prepare The Following Documents– CV (including two referees)– Research proposal (2 pages)– Academic transcripts– English test scoresUse the subject line: "EOI for PhD Scholarship 2026: Project- by "Shortlisted candidates will be contacted for interviews.Please refer to the official advertisement for application details.The Position Was Advertised By Dr. Syed Islam On LinkedIn.
For Further Information And Updates, Please Refer To The Original LinkedIn Posthttps:// you are driven to make a difference in healthcare or environmental science through advanced computational research, this is an outstanding opportunity to pursue a fully funded PhD at one of Australia's most dynamic universities.
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