Postdoctoral Research Associate in Biomedical Image Analysis and Visualisation
ARC Training Centre for Musculoskeletal Biomedical Technologies
Faculty of Engineering and Information Technology
- Join an organisation that encourages progressive thinking
- Be valued for your exceptional knowledge and experience in research excellence
- Full-time fixed term for five years. Remuneration package: $106,834 p.a. which includes base salary, leave loading and up to 17% employer’s contribution to superannuation).
About the opportunity
A Postdoctoral position is available in the area of image analysis and visualisation particularly for biomedical images of musculoskeletal structures. The position is full-time fixed term for five years, subject to the completion of a satisfactory probation period for new appointees. There is also the possibility of further offers of employment subject to performance, need and funding. Membership of a University approved superannuation scheme is a condition of employment for new appointees.
The Postdoctoral ResearchAssociate’s research focus will be on the derivation of novel algorithms to detect, and characterise musculoskeletal defects from biomedical images. An ideal candidate would be capable of developing novel frameworks to model these defectsfor use in the fabrication of customised medical devices. The candidate is expected to work as part of a multidisciplinary team and have the capacity to work across a number of different projects, including those that may emerge as a part of ongoing research.
The primary responsibilities of this position will include designing segmentation algorithms, creating 3D visualisations, and computational modelling. In all cases, mentors will be working with the researcher on a regular basis and all work will be performed in a collaborative team environment, alongside senior academics, clinicians, research students, and industry partners.
Applications should include a research plan (not to exceed five pages), a detailed resume including a publications list, and the names and addresses of at least two references. The research plan should include half a page to one page outlining a program of research that you will lead and providing a strategic vision for your future research.
The University values courage and creativity; openness and engagement; inclusion and diversity; and respect and integrity. As such, we see the importance in recruiting talent aligned to these values in the pursuit of research excellence. We are looking for a Postdoctoral Research Associate who has:
- A PhD (or expected graduation in 2018) in computer science or engineering, or a closely related field.
- Prior research experience in computerized image analysis and visualisation.
- Demonstrated success in the publication of high-impact work in internationally recognized peer-reviewed journals.
- Demonstrated ability to work with a multidisciplinary team, especially with clinicians.
- Ability to work in a complex and challenging environment.
Since our inception 160 years ago, the University of Sydney has led the research and teaching to improve the world around us. We believe in education for all and that effective leadership makes lives better. These same values are reflected in our approach to diversity and inclusion, and underpin our long-term strategy for growth. We’re Australia's first university and have an outstanding global reputation for academic and research excellence. Across 9 campuses, we employ over 7600 academic and non-academic staff who support over 60,000 students.
We are undergoing significant transformative change which brings opportunity for innovation, progressive thinking, breaking with convention, challenging the status quo, and improving the world around us.
For more information on the position and University, please view the candidate information pack available from the job’s listing on the University of Sydney careers website.
All applications must be submitted via the University of Sydney careers website. Visit sydney.edu.au/recruitment and search by the reference number to apply.
To be considered for this position it is essential that you address the online selection criteria and include your Scopus ID.
Closing date: 11.30pm 5 November 2017 (Sydney time)
The University of Sydney is committed to diversity and social inclusion. Applications from people of culturally and linguistically diverse backgrounds; equity target groups including women, people with disabilities, people who identify as LGBTIQ; and people of Aboriginal and Torres Strait Islander descent, are encouraged.
© The University of Sydney
The University reserves the right not to proceed with any appointment.