Casual position, HEW Level 4
Hourly rate: $50.24 – $53.27 + 12% superannuation
Flexible hours: Up to 25 hours per week
Location: St Lucia Campus
We are seeking a curious, analytical and impact-driven Research Assistant to support the development of techno-economic analysis (TEA) frameworks for emerging precision-fermentation technologies.
In this role, you will help shape the future of sustainable dairy systems, analysing how precision-fermented milk proteins can integrate into Australia’s existing dairy infrastructure.
You will work at the intersection of economics, engineering and sustainability, assessing:
feedstock viability,
scale-up scenarios,
market and cost volatility,
carbon-pricing impacts,
co-product valorisation within circular-economy models.
Your work will directly inform industry and research decision-making, guiding commercially viable and environmentally responsible solutions.
Build and maintain TEA models for standalone and integrated precision-fermentation systems.
Develop CAPEX/OPEX breakdowns and perform MPSP/IRR assessments.
Analyse feedstock options (e.g., sugar, whey, bagasse, gas; cell-based vs cell-free systems).
Normalise costs and prepare comparison tables and visual summaries.
Conduct capacity assessments and scale-exponent modelling.
Identify competitiveness thresholds and develop tornado/sensitivity charts.
Evaluate co-product pathways and incorporate credits/avoided costs into TEA frameworks.
As a member of UQ’s professional staff community, you will contribute to research, teaching, and student success. UQ is committed to:
excellence in research and innovation,
supporting diverse career pathways,
offering staff benefits such as affordable on-campus parking, access to internal opportunities, and a collaborative work culture.
Degree in Chemical/Bioprocess Engineering, Food Science, Agricultural/Resource Economics, Industrial Engineering, or another quantitative discipline.
Multi-disciplinary combinations (e.g., engineering + economics) are highly valued.
Strong quantitative and analytical skills; confidence with spreadsheets and/or coding.
Experience with process modelling or TEA tools (e.g., SuperPro, DCF modelling, bioprocess modelling, production economics, cost–benefit analysis).
Clear, concise communication tailored to technical audiences.
A genuine interest in applying TEA to agricultural, food, fuel, or high-value science domains.
Availability to commence January 2026.
Background checks (including right-to-work) may be required.
Role enquiries:
Associate Professor Sudhir Yadav
Email: sudhir.yadav@uq.edu.au
Application enquiries:
Talent Acquisition team
Email: talent@uq.edu.au
Include reference R-58838 in the subject line.
Submit:
Cover letter (briefly outline one example of a quantitative analysis you have done, including tools used)
Resume
If you require an alternative application method due to accessibility needs, please contact talent@uq.edu.au.
This is a casual role, and per Fair Work standards, there is no commitment to ongoing work.
UQ is committed to inclusive hiring. Applicants who do not meet every criterion are still encouraged to apply.
Applications may be reviewed and interviews conducted before the closing date.
Sunday, 1 February 2026 at 11:00pm AEST
Job Reference: R-58838
Early applications are encouraged as UQ may close the process early.