Postdoctoral Fellow – Artificial Intelligence in Computational Neuro-oncology (mq)
Job posting number: #56219 (Ref:R000013514)
This Job Posting is Expired.
Job Description
PRIMARY DETAIL
An exceptional opportunity to become an integral part of our highly skilled multidisciplinary team and leverage your research expertise to advance the field of AI for healthcare.THE ROLE
Salary Package: Postdoctoral Research Fellow (Level A) $102,501 to $109,852 p.a. plus 17% employer's superannuation and annual leave loading.
Appointment type: Full-time, fixed-term (2 years), including a 6-month probation.
Location: Macquarie University (Wallumattagal Campus, North Ryde)
About the Role
We’re seeking an enthusiastic researcher to contribute to an established research program which is dedicated to the advancement of AI-based diagnostics in neuro-oncology. The goal of the program is to pioneer cutting-edge AI models for the analysis of biomedical images (mainly, digital neuropathology and neuroimaging) and bridge the gap between AI innovation and practical clinical applications in the realm of brain tumour diagnosis. The research will be conducted as part of a multidisciplinary project funded by the National Health and Medical Research Council (NHMRC). The candidate will be working with a team of highly experienced and internationally recognised researchers at the Centre for Health Informatics, within the Australian Institute of Health Innovation (AIHI), and Computational NeuroSurgery (CNS) Lab at Macquarie University. The candidate will report directly to Chief Investigator (CI) Dr Sidong Liu and will engage in collaborative efforts alongside the other CIs, including Professor Antonio Di Ieva, A/Prof Yang Song (UNSW), Professor Benoit Liquet-Weiland and Professor John Magnussen.
About You
You will bring your strong expertise in machine learning / deep learning, medical image computing to our multidisciplinary team, and contribute to the research activities related to the project. Key responsibilities include:
Develop advanced algorithms for the analysis of brain tumour images with a primarily focus on MRI and digital pathology images.
Innovate, implement, and evaluate AI models tailored to support clinical tasks such as brain tumour grading, molecular sub-typing, recurrence prediction, etc.
Collect data, monitor data integrity, and manage the datasets, ensuring compliance with the University’s Research Data Management Framework.
Maintain the software repository by documenting the technical implementation of the algorithms / models, and proactively identifying and resolving issues that may arise during development and deployment phases.
Support the CIs with research in their research efforts by contributing to data analyses, preparation of ethics and grant applications, and writing of manuscripts for publication.
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. You will be a good communicator, passionate about your research, and enjoy working in a dynamic team. You will have the opportunity to participate in conferences / workshops and contribute to the supervision of HDR students.
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, digital health and patient safety.
The Centre for Health Informatics (CHI) was Australia’s first digital health research centre and its researchers explore applications of novel digital technologies in healthcare. We have 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. 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 its staff have expertise in the development and implementation of state-of-the-art artificial intelligence (AI) methods.
The AIHI Recruitment Prospectus can be found here: https://www.mq.edu.au/__data/assets/pdf_file/0004/1218640/AIHI-Recruitment-Prospectus_2022.pdf
Information and projects about the CNS Lab can be found here:
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.
Essential
PhD in Computer Science, Data Science, Health Informatics, Biomedical Engineering, or a closely related field.
Proven expertise in computer vision or image processing,
Demonstrated experience in machine learning / deep learning, statistical analysis, and strong analytical skills.
Demonstrated skills in using programming languages such as Python and Matlab, and software libraries / frameworks such as Scikit-learn and TensorFlow.
Excellent research track record evidenced by first-author publications in strong international journals and conferences.
Proven ability to conduct research independently and as part of a collaborative team.
Desirable
Understanding of medical and health applications, population analyses, and experience with applications of AI to health or medical problems.
Demonstrated excellent written and verbal communication skills, including ability to work in multidisciplinary teams.
Demonstrated ability writing research proposals for research/industry funding.
Proven experience in using high-performance cloud computing platforms such as NCI Gadi, AWS or Google Cloud.
Proven experience in management, processing and analysis of large-scale datasets.
Understanding of applications of AI in medicine, above all, digital pathology, neuroimage analysis, and radiomics in neuro-oncology.
Publications in strong journals and conferences, such as MedIA, MICCAI, CVPR
Specific Role Enquiries: Dr Sidong Liu, Senior Research Fellow, Centre for Health Informatics, Australian Institute of Health Innovation at sidong.liu@mq.edu.au
General Recruitment Enquiries: Nithya Elango, HR Assistant, at nithya.elango@mq.edu.au
Applications Close: Sunday 26 November 2023 at 11:59 PM AEDT
If you're already part of the Macquarie Group (MQ University, U@MQ, MQ Health, MGSM), you'll need to apply through your employee Workday account. To apply for this job: Login to Workday and go to the Careers App > Find Jobs.
Applications Close:
26/11/2023 11:59 PMDiversity 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 Candidate Resource Hub.