- Fantastic opportunity for a collegial academic with a passion and expertise in MRI to work in WA's node of the National Imaging Facility (NIF) at CMCA
- Fixed term appointment with an immediate start until the end of 2023
- Salary range: Level C, $120,444 - $138,713 p.a. plus employer contributed superannuation of 17%
The University of Western Australia (UWA) is ranked amongst the top 100 universities in the world and a member of the prestigious Australian Group of Eight research-intensive universities. With an enviable 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 and work area
The Centre for Microscopy, Characterisation and Analysis (CMCA) comprises approximately 35 academic, research, technical and administrative staff supporting a diverse range of instrument platforms including preclinical MRI, small animal imaging, micro-CT, super resolution, confocal, and multiphoton optical microscopy, NMR spectroscopy, biological and molecular mass spectrometry for proteomics and metabolomics, secondary ion mass spectrometry (SIMS), electron microscopy and microanalysis, flow cytometry, X-ray diffraction, and scanning probe microscopy. The CMCA's mission is to enable research excellence by providing access to world-class scientific infrastructure and expertise in characterisation to researchers and industry.
The Centre's Bioimaging Facility comprises a range of imaging capabilities including a 9.4T 30cm bore preclinical MRI, small-animal CT, fluorescence and luminescence imaging, high-frequency ultrasound and photoacoustic imaging, along with a suite of super resolution and optical microscopy facilities. The facility is located in the CMCA laboratories in the Perkins North Building on the Queen Elizabeth II (QEII) medical campus, a short distance from the UWA Crawley campus. The CMCA leads the Western Australian node of the National Imaging Facility (NIF), which is a National Collaborative Research Infrastructure Strategy (NCRIS) project. NIF is a national collaborative network of imaging infrastructure (anif.org.au), and the Western Australian NIF Node is currently negotiating expansion to provide researchers with access to human MRI and PET-CT imaging within the state. For more information about the facilities available at CMCA, please click here
About the opportunity
As an expert in MRI imaging, you will provide academic leadership and management of the CMCA's 9.4T preclinical MRI to enable high-impact biomedical, bioscience and other academic research.
You will be responsible for the day-to-day operation of the MRI scanner and other related instrumentation, overseeing the coordination of user training and maintenance of the facility, and taking responsibility for the quality of data produced by the facility. You will be one of a network of NIF Facility Fellows supporting the activities of NIF at the local and national level. As a UWA academic, you will perform a range of academic activities, including independent and collaborative research, teaching and training, and student supervision.
To be considered for this role, you will demonstrate:
- PhD in a relevant subject area - Physics, Chemistry, Life Sciences or related field;
- Advanced knowledge and extensive experience in the operation of high-field MRI systems, in a preclinical or biomedical research setting;
- Significant experience with pulse sequence programming, image reconstruction and signal processing, and in the use of open-source software packages commonly used for MRI data analyses, e.g., FSL, MRtrix, MINC, SPM;
- Experience working with small animals (e.g. recovery anaesthesia and physiological monitoring) in a physical containment level 2 (PC2) environment under animal ethics codes of practice;
- Ability and willingness to maintain a multi-user MRI facility, train users and supervise research students and staff;
- Ability to engage in and support diverse research programs utilising MRI and other imaging techniques;
- Excellent written and verbal communication skills, and the ability to work effectively as part of a dynamic, multidisciplinary team;
- Excellent organisational skills and demonstrated ability to set priorities to meet deadlines.
You will have collegiate attitude, evidence of effective team work and ability to work with diverse groups internally and externally with dynamic and multidisciplinary team. You will be willing to travel intrastate, interstate and/or overseas. Prior experience with programming languages (e.g. Matlab, Python), machine learning applied to image segmentation and/or analyses, and experience with Bruker MRI hardware and software will be highly considered.
About the campus
You will work alongside dynamic and forward-thinking colleagues, who like you, are determined to challenge convention and drive innovation. We are a community driven by a desire to make the most of our collective potential and to contribute to the world's advancement. We work at one of Australia's most picturesque campuses.
Full details of the position responsibilities and the selection criteria are outlined in the position description. In preparing your application you are asked to demonstrate clearly that you meet the selection criteria. You are encouraged to supply a curriculum vitae or academic portfolio in support of your application.
Please see the position description prior to applying: 311898.pdf
Closing date: Tuesday, 1 October 2019
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. We celebrate inclusion and diversity and believe gender equity is fundamental to achieving our goal of being a top 50 university by 2050.
- We have child friendly areas on campus, including childcare facilities. Flexible work arrangements, part-time hours and job sharing will all be considered.
- UWA has been awarded Platinum Employer Status for being a Top Ten Employer for LGBTI Inclusion by the Australian Workplace Equity Index (AWEI -2019).