Postdoctoral Research Fellow/Research Officer - Neuroimaging

• School of Electrical Engineering and Computer Science

• Full-time (100%), fixed-term position through to September 2026, with the possibility of extension

• Base salary will be in the range $78,871.35 - $105,004.02 + 17% Superannuation (Academic Level A)

• Based at our St Lucia Campus

About This Opportunity 

This is an exciting opportunity for a Postdoctoral Research Fellow to develop their expertise and emerging research profile in Neuroimaging. The successful applicant will be working on "Predicting functional decline in MND using metabolic-body mapping". At this level it is expected that the incumbent will contribute to service and engagement roles and activities.

Key responsibilities will include: 

• Research: Establish a research program, collaborate on research projects, seek and manage research funding, publish in reputable journals, utilise 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.

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

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 

• Completion or near completion of a PhD in Medical Imaging, Neuroimaging/Functional Neuroimaging, Medical Physics, Cognitive Neuropsychology, Neuroscience or Psychology

• High-level programming skills, including proficiency in generating scripts to run and display experiments (e.g., python/ psychopy etc.).

• Proficiency in implementing quality control steps for imaging data.

• fMRI analysis skills – pre-processing and higher-level analyses, including familiarity with tools such as AFNI/ FSL/ SPM etc.

• Strong statistical knowledge, including using generalised linear models for imaging analysis and ability to work with statistical software such as SPSS/ R/ JASP etc.

• Excellent interpersonal skills (for data collection with participants)

Desirable:

• Experience collecting data in an imaging environment e.g., fMRI.

• Experience using cortical surface modelling techniques.

• Experience working with HPCs, including use of shell scripting (e.g., bash).

• Experience using python/ conda environments.

• Experience using/building reproducible neuroimaging software (e.g., Docker, Singularity, Apptainer, Neurodesk).

• Experience with Magnetic Resonance Spectroscopy (collecting data, analysing data) desirable.

• Background working with clinical groups, patients or vulnerable populations.

• Application of machine learning techniques for neuroimaging data (e.g., classification, clustering, or regression models).

• Experience with automating neuroimaging workflows (e.g., using nipype/ BIDS-apps, or similar tools).

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

Relocating from interstate or overseas? We may support you with obtaining employer-sponsored work rights and a relocation support package. You can find out more about life in Australia’s Sunshine State here.

Questions? 

For more information about this opportunity, please contact Dr Thomas Shaw t.shaw@uq.edu.au. For application inquiries, please reach out to the Talent Acquisition team at 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 Friday 28 February 2025 at 11.00pm AEST (R-46862). Please note that interviews have been tentatively scheduled for the week commencing Monday 3 March 2025.