The National Imaging Facility (NIF) Human Connectomics Fellow
- The University of Queensland
- Australia, QLD
- Jul 1, 2026
Job Description:
- 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 at conferences.
- Evidence of successfully seeking, obtaining, and managing external research funding.
- Expertise in imaging data acquisition, analysis, and interpretation.
- Evidence of introducing and teaching image analysis techniques to researchers, both experts and newcomers to the field.
- Advanced experience with High-Performance Computing (HPC), job scheduling, and parallel programming.
- Expertise in programming languages such as Python and MATLAB.
- Experience in meaningful internal service roles, along with active contributions to external activities.
In addition to the above, for appointment at Academic Level C:
- Completion of a PhD in Neuroimaging, Engineering, Computer Science, or related fields.
- An established profile in image analysis and connectomics.
- Advanced expertise in imaging technologies: familiarity with MR, PET, and CT imaging technology and research.
- National recognition and an internationally developing profile, with an established record of publications in reputable refereed journals and presentations at conferences.
- A strong record of successfully seeking, obtaining, and managing external research funding.
- Evidence of advanced levels in teaching image analysis techniques to researchers, both experts and newcomers to the field.
- A strong track record in imaging data acquisition, analysis, and interpretation.
- Expert-level proficiency with High-Performance Computing (HPC), job scheduling, and parallel programming.
- Advanced proficiency in programming languages like Python and MATLAB.
- A growing record of meaningful internal service roles, along with a strong contribution to external activities.
Desirable:
- Proven skills in collaboration: ability to participate in and manage numerous collaborative projects.
- Advanced experience with tools such as FSL, SPM, AFNI, and Freesurfer.
- Skilled in a wide variety of visualisation, segmentation, and registration techniques.
About UQ
As part of the UQ community, you will 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. 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.
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, access to exclusive internal-only vacancies, and genuine career progression opportunities via the academic promotions process.
Interested?
For more information about this opportunity, please contact Dr Lena Oestreich - [email protected]
For application inquiries, please reach out to the Talent Acquisition team at [email protected], stating the job reference number (below) in the subject line.
When you apply, please ensure you upload a resume, cover letter, and responses to the ‘About You’ section. Please note that applications received via email will not be accepted.
Other Information
Pre-employment checks may include: verification of the right to work in Australia, qualifications, criminal history, mandatory immunisations. This may also include checks relating to gender-based violence matters or other integrity and conduct requirements.
You must maintain unrestricted work rights in Australia for the duration of this appointment to apply. Employer sponsored work rights are not available for this appointment.
We're dedicated to equity, diversity, and inclusion. We recognise that career pathways and opportunities differ, and encourage applications from candidates who may not meet every criteria but can demonstrate their potential relative to opportunity. We’re also happy to support any accessibility needs throughout the recruitment process. Just let us know how we can help by emailing [email protected] or calling +61 7 3365 2623.
Applications close 14 July 2026 at 11.00pm AEST (R-66267).
For more than a century, The University of Queensland (UQ) has created positive change for society by delivering knowledge leadership for a better world.
UQ ranks among the world’s top universities, as...
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Job Description:
- 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 at conferences.
- Evidence of successfully seeking, obtaining, and managing external research funding.
- Expertise in imaging data acquisition, analysis, and interpretation.
- Evidence of introducing and teaching image analysis techniques to researchers, both experts and newcomers to the field.
- Advanced experience with High-Performance Computing (HPC), job scheduling, and parallel programming.
- Expertise in programming languages such as Python and MATLAB.
- Experience in meaningful internal service roles, along with active contributions to external activities.
In addition to the above, for appointment at Academic Level C:
- Completion of a PhD in Neuroimaging, Engineering, Computer Science, or related fields.
- An established profile in image analysis and connectomics.
- Advanced expertise in imaging technologies: familiarity with MR, PET, and CT imaging technology and research.
- National recognition and an internationally developing profile, with an established record of publications in reputable refereed journals and presentations at conferences.
- A strong record of successfully seeking, obtaining, and managing external research funding.
- Evidence of advanced levels in teaching image analysis techniques to researchers, both experts and newcomers to the field.
- A strong track record in imaging data acquisition, analysis, and interpretation.
- Expert-level proficiency with High-Performance Computing (HPC), job scheduling, and parallel programming.
- Advanced proficiency in programming languages like Python and MATLAB.
- A growing record of meaningful internal service roles, along with a strong contribution to external activities.
Desirable:
- Proven skills in collaboration: ability to participate in and manage numerous collaborative projects.
- Advanced experience with tools such as FSL, SPM, AFNI, and Freesurfer.
- Skilled in a wide variety of visualisation, segmentation, and registration techniques.
About UQ
As part of the UQ community, you will 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. 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.
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, access to exclusive internal-only vacancies, and genuine career progression opportunities via the academic promotions process.
Interested?
For more information about this opportunity, please contact Dr Lena Oestreich - [email protected]
For application inquiries, please reach out to the Talent Acquisition team at [email protected], stating the job reference number (below) in the subject line.
When you apply, please ensure you upload a resume, cover letter, and responses to the ‘About You’ section. Please note that applications received via email will not be accepted.
Other Information
Pre-employment checks may include: verification of the right to work in Australia, qualifications, criminal history, mandatory immunisations. This may also include checks relating to gender-based violence matters or other integrity and conduct requirements.
You must maintain unrestricted work rights in Australia for the duration of this appointment to apply. Employer sponsored work rights are not available for this appointment.
We're dedicated to equity, diversity, and inclusion. We recognise that career pathways and opportunities differ, and encourage applications from candidates who may not meet every criteria but can demonstrate their potential relative to opportunity. We’re also happy to support any accessibility needs throughout the recruitment process. Just let us know how we can help by emailing [email protected] or calling +61 7 3365 2623.
Applications close 14 July 2026 at 11.00pm AEST (R-66267).
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