QUT PhD International Awards in AI-Based Bone Fracture Detection and Classification

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QUT PhD International Awards in AI-Based Bone Fracture Detection and Classification

QUT PhD International Awards in AI-Based Bone Fracture Detection and Classification

Scholarship Type: Phd

Application for the QUT PhD International Awards in AI-Based Bone Fracture Detection and Classification is now open. We invite qualified candidates to apply for a Jamieson Trauma Institute-funded PhD scholarship in the Science and Engineering Faculty.

You will be involved in the development and testing of AI-based methods for detecting and classifying bone fractures on clinical radiographic images. A possible extension of the project is virtually-reconstructed 3D models of the bone fragments from routine orthogonal 2D radiographs.

Host Institution/Country:
QUT. The Queensland University of Technology is a public research university located in the urban coastal city of Brisbane, Queensland, Australia.


Scholarship Eligibility:

  • commence full-time study at QUT prior to 30 June 2021
  • not have already completed a PhD or equivalent degree
  • hold a relevant degree of at least a first-class honours or equivalent, including:
    • engineering
    • informatics
    • physics
    • other related branch of study
  • demonstrate skills in:
    • mathematics
    • programming
    • artificial intelligence (AI) methods
    • image processing
    • oral and written communication.


Scholarship Value:

  • an annual stipend of $30,000 for up to three and a half years of full-time study
  • the opportunity to work in QUT’s Institute of Health and Biomedical Innovation
  • opportunities to work close with:
    • clinicians at the Royal Brisbane and Women’s Hospital
    • informatics specialists at CSIRO’s e-Health Research Centre
    • engineers at QUT.

If you’re an international student, you’ll also receive a QUT Tuition Fee Waiver Scholarship.


Application
For more information, and to express your interest in the scholarship, please contact Dr Beat Schmutz.

Application Deadline: 28 February 2021

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