AI-Driven Medical Imaging Research Associate

Usyd

Sydney

On-site

AUD 118,000 - 126,000

Full time

3 days ago
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Job summary

The University of Sydney invites applications for a Postdoctoral Research Associate (Level A) in Clinical Imaging, based at South Eveleigh. You will join a collaborative team applying AI to improve radiation therapy for cancer patients, translating AI-powered imaging advances into clinical practice.

You will develop AI-based imaging and targeting algorithms, support clinical data analysis, contribute to publications and funding proposals, and undertake site visits to support technology

Qualifications

  • PhD in physics, CS, applied math, or biomedical engineering, or a related field.
  • Strong publication record in peer-reviewed journals.
  • Experience with AI software development and algorithm design.
  • Experience translating research into clinical practice.
  • Experience collaborating with radiation oncologists, medical physicists, engineers and other clinical professionals.

Responsibilities

  • Advance the algorithms of imaging and targeted radiation therapy.
  • Create, develop and experimentally and clinically implement AI based algorithms.
  • Support the acquisition and analysis of clinical data, imaging, software and equipment infrastructure.
  • Contribute to scientific publications, research dissemination and the development of competitive funding proposals.
  • Undertake clinical site visits to support technology installation, testing and implementation, as required.

Skills

AI algorithms
Research publications
Collaborative teamwork

Education

PhD in physics, CS, applied math or biomedical engineering

Job description

The University of Sydney invites applications for a Postdoctoral Research Associate (Level A) in Clinical Imaging, based at South Eveleigh. You will join a collaborative team applying AI to improve radiation therapy for cancer patients, translating AI-powered imaging advances into clinical practice.

You will develop AI-based imaging and targeting algorithms, support clinical data analysis, contribute to publications and funding proposals, and undertake site visits to support technology

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