Postdoctoral Researcher In Medical Data Analysis

 

Description:

The Swinburne University of Technology Computing Technologies department is looking for a Postdoctoral Researcher in Medical Data Analysis.

The position of Postdoctoral Researcher in Medical Image Analysis represents an exciting opportunity to play a key role in a major research collaboration between Swinburne University of Technology, Max Kelsen, and the Peter MacCallum Cancer Centre (Peter Mac) as part of a 3-year project funded by the Digital Health Cooperative Research Centre (CRC). This role will contribute to the development of novel computer vision and deep learning methods utilising multi-modal datasets made available through a real-world patient data management platform designed for the responsible development of AI-enabled clinical decision support systems.

Working with project partners, this role will leverage the capabilities of this platform to create novel medical data analysis and diagnostic methods – including deep learning and related approaches – by utilising curated data from multiple data sources.

About You
To be suitable for this role you will need to have experience in the below key accountabilities:

  • At least one year of prior post-doctoral research experience
  • Experience in the development of computer vision and/or deep learning models for image analysis (in particular segmentation problems)
  • Demonstrated capacity to work collaboratively and proactively as part of a multi-disciplinary team, as well as proven ability to work effectively with minimal supervision
  • Ability to contribute to research projects including identifying and tracking milestones, reporting on progress and identifying barriers to completion

Organization Swinburne University of Technology
Industry Medical / Healthcare Jobs
Occupational Category Postdoctoral Researcher in Medical Data Analysis
Job Location Melbourne,Australia
Shift Type Morning
Job Type Full Time
Gender No Preference
Career Level Intermediate
Experience 2 Years
Posted at 2023-03-18 4:56 am
Expires on 2024-12-27