Job no:512682
Work type:full time
Location:Crawley
Categories:Health and Medical Sciences
- Join a diverse team working towards improving heart disease risk assessment
- Position based at the Harry Perkins Institute of Medical Research
- Full-time appointment on a 24-month fixed term basis
- Base salary range: Level A $74,236 – $99,905 p.a. (pro-rata) plus 17% superannuation
The University of Western Australia (UWA) is ranked among the top 100 universities in the world and a member of the prestigious Australian Group of Eight research intensive universities. With a strong research track record, vibrant campus and working environments, supported by the freedom to innovate and inspire, there is no better time to join Western Australia’s top university.
About the team
This position is based within the Advanced Clinical and Translational Cardiovascular Imaging Laboratory, Cardiovascular Science and Diabetes Group at the Harry Perkins Institute of Medical Research, UWA Centre for Medical Research. The Group is one of the world’s foremost research groups in the field of artificial intelligence and machine learning towards cardiovascular disease and inflammation. Using a diverse set of scientific approaches from mechanistic translational science program, epidemiological, machine and deep learning methods; the team uses a trans-disciplinary approach with long term goals of improving risk prediction and risk stratification for people with suspected or at risk of cardiovascular disease.
About the opportunity
As a Research Associate you will join a multi-disciplinary team and be a key player in reaching the goals of the Advanced Clinical and Translational Cardiovascular Imaging Laboratory. You will contribute to heart disease risk assessment through your research, design, and building of pragmatic and rigorous solutions towards computational imaging algorithms.
You will also build and maintain data driven information retrieval models, experiments, recommendation algorithms, and machine learning models. Drawing on your expertise you will also investigate new data and machine learning technologies while providing mentorship and advice to team members.
About you
To be considered for this opportunity, you will have
- PhD degree in Computer Science or similar.
- Sound knowledge and skills in Python or related programming language.
- Sound knowledge and previous experience with artificial intelligence and machine learning (including deep learning) algorithms and model performance
- Excellent troubleshooting and communication skills
- High developed organisation skills and a strong attention to detail
- Ability to work both independently and as part of a team.
About your application
Full details of the position's responsibilities and the selection criteria are outlined in the position description: PD 512682.pdf
You are required to address the selection criteria in your submission in a separate document. For information to assist you with compiling statements to answer the selection criteria, please visit Addressing the selection criteria .
You may also submit an additional statement (1 page max) outlining any personal circumstances which should be considered when assessing your application. Applicants who have experienced periods of academic/professional interruption or other relevant events can include a description of achievements relative to opportunity in this statement.
Closing date: 11:55 PM AWST on Sunday, 8th January 2023
To learn more about this opportunity, please contact Theodore Ng on (08) 6151 0716 or at [email protected]
This position is open to international applicants.
Application Details : Please apply online via the Apply Now button.
Our commitment to inclusion and diversity
UWA is committed to a diverse workforce and an equitable and inclusive workplace. We celebrate difference and believe diversity is fundamental to achieving our goals as a globally recognised Top 100 educational and research institution. We are committed to creating a safe work environment for Aboriginal and Torres Strait Islander people, women, people from culturally and linguistically diverse backgrounds, the LGBTIQA+ community and people living with disability.
- We have a globally competitive, gender neutral parental leave policy with 26 weeks paid leave after 12 months service and 36 weeks after 5 years.
- We have on-campus childcare facilities for children aged 6 weeks to kindy.
- We facilitate flexible working, with part-time and job-sharing arrangements considered.
- We have an ongoing partnership with Pride in Diversity and were recently awarded a Bronze Employer status for LGBTIQA+ inclusion.
- We have Athena SWAN Bronze accreditation and actively work to improve gender equity.
Should you have any queries relating to your application, please contact the individual named in the advertisement. Alternatively, contact the Talent team at [email protected] with details of your query. To enable a quick response, please include the 6-digit job reference number and a member of the team will respond to your enquiry.
Advertised:22 Nov 2022 W. Australia Standard Time
Applications close:08 Jan 2023 11:55 PM W. Australia Standard Time
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