澳大利亚昆士兰大学博士后职位招聘
2024-06-27
澳大利亚昆士兰大学博士后职位招聘--国家成像设施(NIF)超高场(7T)和神经成像分析
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.
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
The National Imaging Facility (NIF) is an Australia wide collaborative network of world-class imaging infrastructure, providing open access to flagship imaging equipment, expertise, tools, data and analysis. NIF addresses Australia’s strategic science and research priorities, and this benefits Australian industry and helps keep Australians healthy.
We are seeking a highly motivated and skilled Fellow with experience in neuroimaging analysis and handling of large datasets, ideally with expertise in ultra-high field (7T) imaging. The primary purpose of this role is to coordinate and participate in research programs at the Queensland node of NIF, located at the Centre for Advanced Imaging (CAI) within the Australian Institute for Bioengineering and Nanotechnology (AIBN) and the Herston Imaging Research Facility (HIRF).
The opportunity is open to an experienced Postdoctoral Fellow (Level A), Research Fellow (Level B) or a Senior Research Fellow (Level C). You will be expected to provide project planning 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.
This position offers you the opportunity to develop an independent research profile in the area of MRI and will be integral to imaging project planning and data analysis research activities at the UQ node. The role reports to the Co-Director of the NIF Queensland Node, Lena Oestreich. This role provides an excellent opportunity to further develop your expertise and establish an emerging research profile within the discipline of neuroimaging.
Key responsibilities will include:
Research (All Levels)
Teaching (Level B, C only)
Supervision and Researcher Development (All Levels)
Citizenship and Service (All Levels)
This is a research focused position. Further information can be found by viewing UQ’s Criteria for Academic Performance .
For further information on responsibilities for this position, please click here to view the information booklet.
This is a full-time (100% FTE), fixed-term position through to December 2025, with a possibility of extension.
At Academic level A. The full-time equivalent base salary will be in the range $77,324.85 - $102,945.12, plus a generous super allowance of up to 17%. The total FTE package will be up to $90,470.08 - $120,445.79 annually.
At Academic level B. The full-time equivalent base salary will be in the range $108,201.26 - $128,201.75, plus a generous super allowance of up to 17%. The total FTE package will be up to $126,595.47 - $149,996.05 annually.
At Academic level C. The full-time equivalent base salary will be in the range $132,201 - $152,202, plus a generous super allowance of up to 17%. The total FTE package will be up to $154,676 - $178,076 annually.
As these roles are covered by an Enterprise Agreement, you will also receive regular remuneration increases in line with the Enterprise Agreement.
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 including hybrid on site/WFH options and flexible start/finish times, and genuine career progression opportunities via the academic promotions process.
About You
At appointment Academic Level A:
Completion or near completion of a PhD in Neuroimaging, Engineering, Computer Science, Psychology, or related fields.
An emerging profile of research in neuroimaging.
Evidence of publications in reputed refereed journals and presenting at conferences.
Evidence of contributions towards successfully obtaining external research funding.
Proficient in neuroimaging data acquisition, analysis and interpretation.
Experience in MRI pulse sequence development and imaging reconstruction.
Skilled in visualization, segmentation, and registration techniques.
Experience in using supercomputers for image analysis.
Experienced with tools such as FSL, SPM, AFNI, Freesurfer, and familiar with programming languages like Python and MATLAB.
Able to introduce and incorporate new analysis techniques to researchers who are both experts and newcomers to the field.
Some experience in meaningful internal service roles and contributions towards external activities
In addition to the above appointment at Academic Level B:
Completion of a PhD in Neuroimaging, Engineering, Computer Science, Psychology, or related fields.
A growing profile of research in neuroimaging.
A developing reputation and track record of publications in reputed refereed journals and presenting at conferences.
Evidence of successfully seeking, obtaining, and managing external research funding.
Expertise in neuroimaging data acquisition, analysis and interpretation.
Proficient in MRI pulse sequence development and imaging reconstruction.
Skilled in a wide variety of visualization, segmentation, and registration techniques.
Proficiency in using supercomputers for neuroimaging analysis.
Advanced experience with tools such as FSL, SPM, AFNI, Freesurfer, and proficient in programming languages like Python and MATLAB.
Evidence of introducing and teaching new analysis techniques to researchers who are both experts and newcomers to the field.
Experience in meaningful internal service roles in conjunction with active contributions to external activities
In addition to the above appointment at Academic Level C:
Completion of a PhD in Neuroimaging, Engineering, Computer Science, Psychology, or related fields.
An established profile of research in neuroimaging.
National recognition and expertise, with an internationally developing profile and an established record of publications in reputed refereed journals and presenting at conferences.
A strong record of successfully seeking, obtaining and managing external research
funding.
A strong track record in in neuroimaging data acquisition, analysis and interpretation.
Skilled in MRI pulse sequence development and imaging reconstruction.
Evidence of a high level of quality in visualization, segmentation, and registration techniques.
Advanced experience with tools such as FSL, SPM, AFNI, Freesurfer, and proficient in programming languages like Python and MATLAB.
Evidence of advanced levels of teaching new analysis techniques to researchers who are both experts and newcomers to the field.
A growing record of meaningful internal service roles in conjunction with a strong contribution to external activities.
Desirable:
Experience with ultra-high field (7T) Imaging.
Proven skills in collaboration: ability to participate in and manage numerous collaborative projects.
Knowledge of imaging technologies: familiarity with MR, PET, and CT imaging technology and research.
In addition, the following mandatory requirements apply:
Work Rights: You must have unrestricted work rights in Australia for the duration of this appointment. Visa sponsorship may be available for this appointment.
Questions?
For more information about this opportunity, please contact Dr Lena Oestreich - l.oestreich@uq.edu.au
For application queries, please contact talent@uq.edu.au 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 , people with a disability, or age . Accessibility requirements and/oradjustments can be directed to talent@uq.edu.au .
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 Thursday 25 July at 11.00pm AEST (R-40172). Please note that interviews have been tentatively scheduled for late July.