The National Imaging Facility (NIF) Human Connectomics Fellow

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Australian Institute for Bioengineering and Nanotechnology (AIBN) Full-time (100%), fixed-term position through to 30 June 2027, offered at Academic Level A, B, or C dependent in experience Base salary will be in the range $85,372.89 - $113,659.72 + 17% super (Academic Level A), in the range $119,462.94 - $141,545.09 + 17% super (Academic Level B), and in the range $119,462.94 - $ 168,043.68 + 17% super (Academic Level C) Based at our St Lucia Campus About This Opportunity Join a visionary and collaborative research environment at The University of Queensland, where you will contribute to mapping the brain's structural and functional networks through cutting-edge connectomics and imaging science. Based within the National Imaging Facility (NIF) at the Centre for Advanced Imaging (CAI), this role will see you working at the forefront of national research infrastructure to advance impactful, translational science. The primary purpose of this role is to coordinate and participate in research programs at the Queensland node of the NIF, located at the CAI within the Australian Institute for Bioengineering and Nanotechnology (AIBN) and the Herston Imaging Research Facility (HIRF). In this research focused academic position, you will coordinate and contribute to research programs, support imaging data analysis at scale, and collaborate across Australia's leading imaging network. You will be part of an ambitious and inclusive community committed to improving human health outcomes through innovation and discovery. You will be expected to provide connectomics and image analysis expertise on a collaborative and consultative basis to both local and external users of the NIF facilities. Additionally, the role involves facilitating access to UQ and national computational facilities for NIF users, as well as promoting NIF activities to the international, national, and institutional scientific communities. You will have the opportunity to develop an independent research profile in the area of connectomics and image analysis and will be integral to imaging data analysis research activities at the UQ node. This role provides an excellent opportunity to further develop your expertise and establish an emerging research profile within the discipline of image analysis and pipelines development. The opportunity is open to an experienced Postdoctoral Fellow (Level A), Research Fellow (Level B) or a Senior Research Fellow (Level C). Key responsibilities will include: Research: Establish/contribute to a research program, collaborate on research projects, seek and manage research funding, publish in reputable journals, utilize best practice research methodologies, and participate in project discussions. Teaching: Where undergraduate and postgraduate teaching is undertaken, achieve teaching quality as indicated by approved surveys and outcomes for students and improve or innovate where appropriate in response to feedback. Supervision and Researcher Development: Contribute to supervision of Honours and Higher Degree by Research students, recruit and manage employees, provide performance feedback and training, resolve conflicts, and ensure correct remuneration and benefits. Citizenship and Service: Develop partnerships, demonstrate leadership through mentoring, engage in internal service roles and committees, perform administrative functions, provide support to colleagues, and uphold university values. This is a research focused position. Further information can be found by viewing UQ's Criteria for Academic Performance . For further information, please click here to view the full position information booklet . About You For appointment at Academic Level A: Completion or near completion of a PhD in Neuroimaging, Engineering, Computer Science, or related fields. An emerging profile in image analysis and connectomics. Knowledge of imaging technologies: familiarity with MR, PET, and CT imaging technology and research. Evidence of publications in reputable refereed journals and presentations at conferences. Evidence of contributions towards successfully obtaining external research funding. Proficiency in imaging data acquisition, analysis, and interpretation. Experience in introducing and teaching image analysis techniques to researchers, both experts and newcomers to the field. Experience with High-Performance Computing (HPC), job scheduling, and parallel programming. Proficiency in programming languages such as Python and MATLAB. Some experience in meaningful internal service roles and contributions to external activities. In addition to the above, for appointment at Academic Level B: Completion of a PhD in Neuroimaging, Engineering, Computer Science, or related fields. A growing profile in image analysis and connectomics. Expertise in imaging technologies: familiarity with MR, PET, and CT imaging technology and research. A developing reputation and track record of publications in reputable refereed journals and presentations a

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