Postdoctoral Research Fellow

2 weeks ago


North Ryde, Australia Macquarie University Full time

PRIMARY DETAIL

We are seeking a talented and experienced Postdoctoral/Research Fellow to engage and embark in our new project within machine learning for precision healthcare.

THE ROLE- Salary Package: Postdoctoral Research Fellow (Level A), from $97,621 to $104,622 p.a. or Research Fellow (Level B) $110,274 to $130,472 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

About You

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. We’ve helped people to hear, introduced wireless internet technology to the world, and broken through traditional boundaries by appointing Australia's first female vice-chancellor.

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)

Macquarie is a university engaged with the real and often complex problems and opportunities that define our lives. Since our foundation 54 years ago, we have aspired to be a different type of university. Over the years, we’ve grown to become the centre of a vibrant local and global community.

Connect with us today


To Apply

_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.-
- 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.-
- 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._

Please see: Australian Institute of Health Innovation Recruitment

prospectus

Specific Role Enquiries: Prof. Shlomo Berkovsky, Centre for Health Informatics, Australian Institute of Health Innovation at

Recruitment Enquiries: Shubha Moorthy, HR Officer at

Applications Close: Sunday 19 February at 11:55pm AEDT

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Applications Close:
19/02/2023 11:59 PM

Diversity and Inclusion
- Innovation and ingenuity thrive at Macquarie University when diversity, equity and inclusion take centre stage. At the University, we embrace a culture where diversity of background, experience and perspective are fundamental to our success.
- We do not discriminate on gender identity, age, culture, disability, sexuality, Indigeneity, family and caring responsibilities or religion. See our journey towards leadership in- Equity, Diversity and Inclusion
- in Higher Education.
- Flexible Work

At Macquarie, we believe by providing flexibility in when, where and how work is done, we can support our staff to manage their personal commitments, while optimising their work performance and contributions to the University. See how we lead in- flexible work
- to enable an outcome focused and inclusive workplace. To learn more about our culture and hiring process, explore our- .



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