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Postdoctoral Research Fellow / Research Fellow, Machine Learning for Precision Healthcare

Employer
MACQUARIE UNIVERSITY - SYDNEY AUSTRALIA
Location
North Ryde, Australia
Salary
From $95,706 to $127,913 p.a., plus 17% employer's superannuation
Closing date
10 Aug 2022

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  • Salary Package: Postdoctoral Research Fellow (Level A), from $95,706 to $102,570 p.a. or Research Fellow (Level B) $108,111 to $127,913 p.a., plus 17% employer's superannuation and annual leave loading.
  • Appointment type: Full-time, fixed-term position for 2 years
  • Macquarie University (North Ryde) location

The Role

We are seeking an enthusiastic researcher to participate in an established research program in artificial intelligence and machine learning for precision healthcare. The goal of the program is to research, develop, and evaluate a new generation of machine and deep learning methods and applications, to support clinicians in making better healthcare decisions. The research will be conducted as part of an NHMRC Partnership project and will focus on personalised patient-centric diagnosis and treatment of neurological conditions using clinical and genomic datasets. You will be working with a cross-disciplinary group of highly experienced and internationally recognised researchers at the Centre for Health Informatics, at the Australian Institute of Health Innovation (AIHI) at Macquarie University and collaborating with other research groups.

About You

You will bring your expertise in machine/deep learning to a multi-disciplinary team and help the team to develop real-world systems. We are looking both for academic rigour and outputs, as well as practical analytical skills, proven problem-solving experience, and ability to interact with internal and external stakeholders. Ideally, you will have the desire to research health/medical applications of machine learning, with experience in using modern methods in real-world applications and working in a collaborative cross-disciplinary setting. You will be a good communicator, passionate about your research, and enjoy working in a dynamic team.

About Us

Macquarie is the university of pioneering minds. Globally recognised as one of Australia's leading research universities, Macquarie is a place where extraordinary new possibilities come to light.

Macquarie University's Faculty of Medicine, Health and Human Sciences builds on our aspiration to have the nation's first fully integrated Academic Health Sciences Centre under a university's leadership. It brings together the excellent work of medical and allied-health clinicians and researchers across the University and around the country, with unparalleled access to world-leading clinical resources and research facilities found only on our campus. Our Faculty hosts the Australian Institute of Health Innovation (AIHI), an internationally acclaimed powerhouse researching health systems, e-health and patient safety.

The Centre for Health Informatics (CHI) explores the application of novel digital technologies in healthcare with a specific focus on Artificial Intelligence (AI) and its implications for transforming models of care, driving system-wide change and delivering more personalised healthcare. The Centre leads a number of large-scale NHMRC projects in digital health and in 2018 established the Australian Alliance for Artificial Intelligence in Healthcare. As the longest-running digital health research centre in Australia, CHI is a research partner to major healthcare providers, research institutions and governments, and has national and international industry partnerships. The Centre generates high-impact research and works with many large Australian and international Electronic Health Record datasets and have expertise in the development and implementation of state-of-the-art artificial intelligence (AI) methods.

Macquarie is a university engaged with the real and often complex problems and opportunities that define our lives. Connect with us today.

To Apply

To be considered for this position, please apply online by submitting your CV with a publications list and a separate (1-2 pages) cover letter that demonstrates how you meet the selection criteria below. We ask that applicants also include a one-page summary of your top-3 publications explaining (a) the importance of these publications, and (b) your part in these publications.

Selection Criteria:

Essential

  • PhD in Computer Science, Data Science, Statistics, Health Informatics, or a closely related field.
  • Experience in Machine/Deep Learning, Data Science/Analytics, or AI, and strong analytical skills.
  • Excellent research track record evidenced by first-author publications in selective journals and conferences.
  • Proven experience with relevant machine learning and data analytics environments, used to develop practical applications.
  • Excellent written and verbal communication skills with an ability to communicate across discipline boundaries.
  • Proven ability to conduct research independently and as part of a collaborative team.

Desirable

  • Publications in top-tier AI journals and conferences, such as IJCAI, NeurIPS, KDD, ICML, ICDM, etc.
  • Understanding of medical and health applications, and experience with application of AI to health/medical problems.
  • Experience in writing research proposals and securing research/industry funding.
  • Experience in supervising Honours and high-degree research students.

Appointment to either Postdoctoral/Research Fellow will be in accordance with demonstrated skills, and experience.

Given current Australian Government COVID-19 border restrictions applications for this position are only being accepted from Australian citizens or permanent residents or people currently residing in Australia with full working rights.

Specific Role Enquiries: Prof. Shlomo Berkovsky, Centre for Health Informatics, Australian Institute of Health Innovation at shlomo.berkovsky@mq.edu.au

Recruitment Enquiries: Jasmine Xia at jasmine.xia@mq.edu.au

Applications Close: Wednesday 10 August, 2022 at 11:55 pm AEDT

Equity & Diversity Statement

Learn more about our progress towards Equity, Diversity and Inclusion.

https://staff.mq.edu.au/work/diversity-inclusion

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