Research Assistant - Soft Sensors

• Sustainable Minerals Institute / JKMRC

• Full-time (100%), fixed-term position for up to 12 months

• Base salary will be in the range $73,072.86 - $77,476.66 + 17% Superannuation (HEW Level 4)

• Based at the University Mine - Indooroopilly

About This Opportunity 

This is an exciting opportunity for a Research Assistant to apply their mathematical and programming skill in the field of minerals processing. In this role you will assist researchers develop and program mathematical models of mineral processing equipment, undertake data analytics studies to identify underlying trends and insights, and work closely with industry partners to deploy soft sensors into real time environments.

Key responsibilities will include: 

• Development, calibration, and validation of models for the minerals processing industry

• Convert experimental excel-based soft sensors to industry-ready programmed solutions using C++ and python

• Perform experimental test work, including development and design, data collection, curation and data analysis

• Liaise with clients regarding delivery of soft sensor solutions to the mineral processing industry

• Assist senior staff with undertaking routine experiments

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.

• 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

• UQ Study for Staff

• Salary packaging options

About You

• A degree in Computer Science, Information Technology, Software or Computer Systems Engineering, or a closely related discipline with relevant experience; or an equivalent combination of experience and/or education/training.

• Good written and verbal communication skills (able to write clear documentation, standards, and technical guides; liaise effectively with clients), interpersonal skills (working as part of a team), and attention to detail.

• Experience in programming multiple languages (Python, MATLAB, Simulink, C++, VBA, etc)

• Experience in developing machine learning and empirical process models

• Demonstrated ability to develop data analytics workflows and solutions using python packages such as pandas, seaborn, scikit-learn

• Self-motivated and able to work effectively either alone or in a team environment with a demonstrated ability to work under pressure, prioritise tasks, meet deadlines, pay attention to detail and maintain professionalism.

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

Work Rights:

You must maintain unrestricted work rights in Australia for the duration of this appointment to apply.

Questions? 

For more information about this opportunity, please contact Dr Gordon Forbes g.forbes@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:

• Cover letter summarising how your background aligns to the ‘About You’ section  

• Resume 

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 on Sunday 10 November at 11.00pm AEST (R-44197). Please note that interviews have been tentatively scheduled for the week commencing Monday 18 November.

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