• Australian Institute for Bioengineering and Nanotechnology (AIBN)

• Full-time (100%), fixed-term research position for up to 2 years

• Appointment at Academic Level A, B or C dependent on experience

• Based at our vibrant St Lucia Campus

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 Artificial Intelligence (AI) image acquisition, processing and analysis. 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).

You will be expected to provide image acquisition, processing and 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 AI-driven imaging 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 imaging.

The opportunity is open to an experienced Postdoctoral Fellow (Level A), Research Fellow (Level B) or a Senior Research Fellow (Level C).

Depending on experience, key responsibilities will include: 

At Academic Level A, B, C

• Research: Establish 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.

• Supervision and Researcher Development: Supervise 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.

At Academic Level B, C only

• Teaching: Develop and deliver courses, engage in curriculum design, coordinate courses, assess students, provide academic counselling, and adhere to university teaching rules.

This will be 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 information booklet.

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.

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 

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 AI and machine learning research in imaging.
• 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 AI-driven imaging data acquisition, analysis, and interpretation.
• Experience in introducing and teaching AI-based 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.

For appointment at Academic Level B:

• Completion of a PhD in Neuroimaging, Engineering, Computer Science, or related fields.
• A growing profile in AI and machine learning research in imaging.
• 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 AI-driven imaging data acquisition, analysis, and interpretation.
• Evidence of introducing and teaching AI-based 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.

For appointment at Academic Level C:

• Completion of a PhD in Neuroimaging, Engineering, Computer Science, or related fields.
• An established profile in AI and machine learning research in imaging.
• 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 AI-based analysis techniques to researchers, both experts and newcomers to the field.
• A strong track record in AI-driven 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 visualization, segmentation, and registration techniques.

The successful candidate may be required to complete a number of pre-employment checks, including: right to work in Australia, criminal check, education check, mandatory immunisations etc. 

Work Rights: 

You must maintain unrestricted work rights in Australia for the duration of this appointment. Visa sponsorship may be available for this appointment.

Relocating from interstate or overseas? You can find out more about life in Australia’s Sunshine State here.

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 

UQ is committed to a fair, equitable and inclusive selection process, which recognises that some applicants may face additional barriers and challenges which have impacted and/or continue to impact their career trajectory. Candidates who don’t meet all criteria are encouraged to apply and demonstrate their potential. The selection panel considers both potential and performance relative to opportunities when assessing suitability for the role.

We know one of our strengths as an institution lies in our diverse colleagues. We're dedicated to equity, diversity, and inclusion, fostering an environment that mirrors our wider community. We're committed to attracting, retaining, and promoting diverse talent. Reach out to talent@uq.edu.au for accessibility support or adjustments.

Applications close 7 December 2024 at 11.00pm AEST (R-44911).

Please note applications will be reviewed as received and interviews have been tentatively scheduled for Tuesday 10th and/or Wednesday 11th December. Candidates may be contacted prior to the job closing date so we encourage interested candidates to apply as soon as possible. The University of Queensland reserves the right to close this application process early