Research Associate/Senior Research Associate in AI-Driven Biomedical Image Analysis

University of New South Wales School of Computer Science and Engineering

Research Associate/Senior Research Associate - AI-Driven Biomedical Image Analysis

Apply now Job no: 501062
Work type: Full-time
Location: Sydney, NSW
Categories: Post doctoral research fellow

The Opportunity

One of the growing focus areas in the School of Computer Science and Engineering is biomedical image computing. Advanced computational methods for automated medical image analysis, bioimage informatics, health informatics, and downstream data analytics are increasingly needed to improve the reliability and throughput of medical diagnostics and screening. Artificial intelligence (AI) approaches, in particular machine and deep learning using artificial neural networks, are key components of the methods we are developing for these purposes. The Research Associate/Senior Research Associate will support the ongoing research in this area and develop solutions for new challenging problems in biomedical imaging.

The Research Associate/Senior Research Associate reports to Professor Erik Meijering and has no direct reports.

  • Salary, $97,368 to $121,101 per annum + 17% superannuation
  • Full time
  • Fixed-term contract – 24 months
  • Location: Kensington – Sydney, Australia

About UNSW

UNSW is currently implementing a ten-year strategy to 2025 and our ambition for the next decade is nothing less than to establish UNSW as Australia’s global university. This position is within the School of Computer Science and Engineering.

Selection Criteria

Level A

  • PhD (or soon to be awarded) in AI-driven biomedical image analysis or closely related area.
  • Demonstrated ability to conduct independent research with limited supervision.
  • Demonstrated track record of publications and conference presentations relative to opportunity.
  • Demonstrated ability to work in a team, collaborate across disciplines and build effective relationships.
  • Strong interpersonal skills with demonstrated ability to communicate and interact with a diverse range of stakeholders and students.
  • Strong expertise in machine learning and in particular deep learning using neural networks.
  • Knowledge of health and safety responsibilities and commitment to attending relevant health and safety training.

Level B

In addition to the above, essential criteria for level B include:

  • PhD in AI-driven biomedical image analysis or closely related area.
  • At least two years of experience in a postdoctoral position conducting research in the field of biomedical image computing.
  • Proven research and publication track record, particularly in high quality peer-reviewed journals.
  • Demonstrated ability to supervise honours and postgraduate research students.

Additional details about the specific responsibilities for these positions can be found in the position description via the link, Position Description_Research Associate-Senior Research Associate - AI-Driven Biomedical Image Analysis (501062).pdf or via the advert on https://www.jobs.unsw.edu.au/

To Apply: Please submit your CV, Cover Letter and Responses to Selection Criteria (skills and experience) nominated in the Position Description. Please note applications will not be accepted if sent to the contact listed below.

Contact:

Eugene Aves – Talent Acquisition Consultant

E: eugene.aves@unsw.edu.au

Applications close: Saturday 6th March 2021

UNSW aspires to be the exemplar Australian university and employer of choice for people from diverse backgrounds.

UNSW aims to ensure equality in recruitment, development, retention and promotion of staff, and that no-one is disadvantaged on the basis of their gender, cultural background, disability, sexual orientation or identity. We encourage everyone who meets the selection criteria to apply.

Advertised: 05 Feb 2021 AUS Eastern Daylight Time

Applications close: 06 Mar 2021 AUS Eastern Daylight Time