Research Assistant

School of Agriculture and Food Sustainability-
- Assist data management practices for satellite, UAV and ground-based phenotyping platforms.- 1 full-time position until November 2027- Based across St Lucia and Gatton Campus

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.

Everyone here has a role to play. As a member of our professional staff cohort, you will be actively involved in working towards our vision of a better world. By supporting the academic endeavour across teaching, research, and the student life, you will have the opportunity to contribute to activities that have a lasting impact on our community.

Join a community where excellence is at the core of our culture, contributions are valued and a range of

benefits and rewards

are available, such as:
- 26 weeks paid parental leave or 14 weeks paid primary caregiver leave- 17% superannuation contributions- 17.5% annual leave loading- Access to flexible working arrangements including hybrid working options, flexible start/finish times, purchased leave, and a condensed fortnight- Health and wellness discounts - fitness passport access, free yearly flu vaccinations, discounted health insurance, and access to our Employee Assistance Program for staff and their immediate family- On campus childcare options- Cheap parking (from just $5.75 a day)- Salary packaging options

About This Opportunity

The Australian Plant Phenomics Facility (APPF) was established in 2009 under the Australian Government’s National Collaborative Research Infrastructure Strategy (NCRIS) to develop a globally collaborative plant phenomics capability that provides leadership in infrastructure, skills and service for agricultural research and industry to maximise the productivity in Australia’s unique and variable environment.

Key responsibilities will include:
- Coordinates and implements appropriate data management practices for the outputs of diverse phenotyping platforms in line with standards set out by the APPF,- Assists with the development, design and improvement of data processing pipelines derived from phenotyping platforms.- The management of software archives, repositories and databases associated with the project.- Assists in the development of dashboards and visualisation tools for datasets from multiple sources-
- Assists in the conduct of complex tasks involving all stages of the APPF data lifecycle.- Undertakes maintenance and upkeep of facilities and equipment; as well as troubleshoots issues with scientific/technical equipment- Contributes to the safe and efficient operation of research equipment, infrastructure, methodologies and protocols- Ensures the appropriate storage, handling and disposal of chemicals, equipment, stores and/or samples/specimens- Contributes to the safe and efficient operation of research equipment, infrastructure, methodologies and protocols- Ensures the appropriate storage, handling and disposal of chemicals, equipment, stores and/or samples/specimens

This is a full-time (100%), fixed-term position until November 2027.

At HEW level 5, the full-time equivalent base salary will be in the range $77,396.47 - $86,029.78, plus a generous super allowance of up to 17%. The total FTE package will be up to $90,553.87 - $100,654.84 annually. As these roles are covered by an Enterprise Agreement, you will also receive regular remuneration increases in line with the Enterprise Agreement.

About You- Completion of a degree level qualification in Information Technology, Software Engineering, Computer Science; or an equivalent combination of relevant experience and/or education/training- Excellent practical research skills and experience in relevant research methodology or techniques required for this body of research- Experience using Python, R, Linux/unix- Aware of Robot Operating System (ROS)- Ability to work collaboratively with colleagues- Ability to work independently on routine procedures- Excellent oral and written communication skills- Well-organised, methodical and self-motivated- Previous experience in a similar role would be considered favourably.- Understanding of field phenotyping- Experience in handling and analysing scientific data- Proficient in Machine learning network- Experience in SQL- Experience in software design

In addition, the following mandatory requirements apply:
- Work Rights: You must have unrestricted work rights in Australia for the duration of this appointment to apply. Visa sponsorship is not available for this appointment.

Questions?

For more information about this opportunity, please contact Daniel Smith at

Want to Apply?- Cover letter addressing the ‘About You’ section- Resume

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
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