University of New South Wales
Top university
1 week ago
PhD in Translating Cardiovascular Digital Health Innovation to Clinical Trial Readiness University of New South Wales in Australia
Degree Level
PhD
Field of study
Computer Science
Funding
Competition funded PhD project for students worldwide. The UNSW PhD Scholarship covers course fees and provides a stipend for living expenses; total value is approximately AUD 40,000 per year, indexed annually.
Country
Australia
University
University of New South Wales
How do I apply for this?
Sign in for free to reveal details, requirements, and source links.
Apply for this position
Keywords
Suggested positions
About this position
PhD opportunity at the University of New South Wales (UNSW Sydney) in the Sydney Vascular Modelling Group with Assoc Prof Susann Beier.
This project focuses on translating cardiovascular digital health innovation from a research prototype to clinical trial readiness. The work sits at the intersection of biomedical engineering, cardiovascular risk assessment, artificial intelligence, computer vision, mechanical engineering, software engineering, and health technology evaluation.
The successful PhD candidate will join a multidisciplinary team of engineers, clinicians, industry partners, and regulatory experts. Research activities may include clinical validation, product development, regulatory strategy, stakeholder engagement, health economic evaluation, and preparation for real-world implementation and clinical trials.
Applicants should have a background in biomedical engineering, data science, computer science, mathematics, statistics, or a related discipline. The call is open to domestic and international applicants with a strong academic record and demonstrated research potential. Domestic applicants should typically have First Class Honours or a research-intensive Master's degree; international applicants should typically have an honours-level qualification from a top-ranked research university and preferably first-author publications or equivalent research excellence.
This is a competition funded PhD project for students worldwide. The UNSW PhD Scholarship covers tuition/course fees and provides a living stipend of about AUD 40,000 per year, indexed annually.
Applications are accepted all year round on a rolling basis until the position is filled. To apply, email a cover letter, CV, transcripts, and two referees to [email protected].
Funding details
Competition funded PhD project for students worldwide. The UNSW PhD Scholarship covers course fees and provides a stipend for living expenses; total value is approximately AUD 40,000 per year, indexed annually.
What's required
Applicants should have a background in biomedical engineering, data science, computer science, mathematics, statistics, or a related discipline. Domestic applicants (Australia and New Zealand) should have a Bachelor's degree with First Class Honours (H1) or equivalent, or a Master's degree with a substantial research thesis/project, a minimum WAM of 75% or equivalent, and evidence of research capability such as an honours thesis, research project, publication, conference presentation, industry R&D experience, or related research activities. International applicants should typically have a Bachelor's degree with Honours or equivalent research-intensive qualification from a top-200 globally ranked university or the nationally leading research-intensive university in their country, academic performance equivalent to UNSW First Class Honours (H1e), and ideally one or two first-author publications in high-quality international journals, preferably Q1 journals. Research excellence through publications, conference presentations, awards, or research experience is preferred. Preference may be given to applicants already based in Australia or able to commence onshore.
How to apply
Email a cover letter, CV, academic transcripts, and contact details of two referees to [email protected]. Applications are reviewed on a rolling basis until the position is filled.
More information can be found here
Ask ApplyKite AI
How do I apply for this?
Sign in for free to reveal details, requirements, and source links.