Postdoctoral Research Fellow in Clinical Neuroimaging Analysis

University of Queensland
March 02, 2024
Offerd Salary:$75,808
Working address:N/A
Contract Type:Other
Working Time:Full time
Working type:N/A
Ref info:N/A
  • Australian Institute for Bioengineering and Nanotechnology

  • Join a university ranked in the world's top 50

  • Collaborate with highly awarded, world-class colleagues

  • Fast track your career with our early career academic development program

  • Based at our vibrant St Lucia Campus

  • About UQ

    As part of the UQ community, you'll have the opportunity to work alongside the brightest minds, who have joined us from all over the world, and within an environment where interdisciplinary collaborations are encouraged.

    At the core of our teaching remains our students, and their experience with us sets a foundation for success far beyond graduation. UQ has made a commitment to making education opportunities available for all Queenslanders, regardless of personal, financial, or geographical barriers.

    As part of our commitment to excellence in research and professional practice in academic contexts, we are proud to provide our staff with access to world- class facilities and equipment, grant writing support, greater research funding opportunities, and other forms of staff support and development.

    About This Opportunity

    We are seeking a highly motivated and skilled Postdoctoral Research Fellow with experience in neuroimaging analysis and handling of large datasets. This role offers an excellent opportunity to develop your expertise and an emerging research profile within the discipline of clinical and computational neuroimaging. You will also contribute to student supervision, commensurate with your level of experience.

    Key responsibilities include:

  • Independent Research Development: Initiate and develop independent research projects aligned with the broader theme of psychiatry neuroimaging, with a particular focus on complex trauma and depression.

  • Data Processing and Analysis: Utilize state-of-the-art image processing techniques, advanced statistical analyses, and super-computing facilities to process and analyze large datasets.

  • Research Project Management: Oversee the day-to-day management of research projects. This includes conducting literature reviews, data analysis and archiving, and developing neuroimaging pipelines.

  • Publication and Presentation: Publish research findings in high- impact, peer-reviewed journals and present your work at scientific conferences.

  • Research Program Development: Establish and develop a coherent research program to enhance your emerging research profile.

  • Student Supervision: Contribute effectively to the supervision of Honours and Higher Degree by Research (PHD and Master) students, as appropriate to your level of experience.

  • This role is subject to The University's Code of Conduct.

    This is a research focused position. Further information can be found by viewing UQ's Criteria for Academic Performance.

    This is a full-time (100%), fixed-term, 2-year position. At Academic level A the full-time equivalent base salary will be in the range $75,808.68 - $100,926.59, plus a generous super allowance of up to 17%. The total FTE package will be up to $88,696.16 - $118,084.11 annually. As this role is covered by an Enterprise Agreement, you will also receive regular remuneration increases – at least once a year.

    The greater benefits of joining the UQ community are broad: from being part of a Group of Eight university, to recognition of prior service with other Australian universities, up to 26 weeks of paid parental leave, 17.5% annual leave loading, flexible working arrangements, and genuine career progression opportunities via the academic promotions process.

    About You
  • Completion or near completion of a PhD in Neuroimaging, Neuroscience, Computer Science, Psychology, or related fields.

  • Evidence of publications in reputed refereed journals and presenting at conferences.

  • Strong experience in neuroimaging data acquisition, analysis, and interpretation.

  • Experience handling large neuroimaging datasets and using supercomputers for image analysis.

  • Flexibility and ability to work both unsupervised and as a member of a team.

  • Proficient in neuroimaging tools (e.g., FSL, SPM, AFNI, Freesurfer) and familiarity with programming languages (e.g., Python, MATLAB).

  • Excellent interpersonal and collaborative skills.

  • In addition, the following mandatory requirements apply:

  • Work Rights: You must have unrestricted work rights in Australia for the duration of this appointment and we may be able to support you with a visa application process.
  • Relocating from interstate or overseas? You can find out more about life in Australia's Sunshine State here.


    For more information about this opportunity, please contact Dr Lena Oestreich - [email protected]

    For application queries, please contact [email protected] stating the job reference number (below) in the subject line.

    Want to Apply?

    All applicants must upload the following documents in order for your application to be considered:

  • Resume

  • Cover letter

  • Responses to the ‘About You' section

  • Other Information

    At UQ we know that our greatest strengths come from our diverse mix of colleagues, this is reflected in our ongoing commitment to creating an environment focused on equity, diversity and inclusion. We ensure that we are always attracting, retaining and promoting colleagues who are representative of the diversity in the broader community, whether that be gender identity, LGBTQIA+, cultural and/or linguistic, Aboriginal and/or Torres Strait Islander peoples, or people with a disability. Accessibility requirements and/or adjustments can be directed to [email protected].

    If you are a current employee (including casual staff and HDR scholars) or hold an unpaid/affiliate appointment, please login to your staff Workday account and visit the internal careers board to apply for this opportunity. Please do NOT apply via the external job board.

    Applications close Saturday 2 March 2024 at 11.00pm AEST (R-35068). Please note that interviews have been tentatively scheduled for March.

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