ABOUT THE DIN

AI-Assisted Signal Interpretation for Deployable Multiplexed Biosensing in Defence, Health and Biosecurity 

Cueven Pty Ltd 

Duration: 3-months
Start Date: November 2026
Location: Remote
Scholarship: $20,000

About the Company

Cueven is a Melbourne-based commercialisation company developing advanced multitarget nanosensor technology powered by AI for the early detection of chemical, biological, and emerging threats. Its platform is designed for deployment in high-risk environments to support rapid threat identification, enhanced situational awareness, and timely operational response. 

Project Objective

This project will develop AI-assisted signal interpretation workflows for a multiplexed nanosensor platform, enabling noise reduction, crosstalk correction, confidence scoring and defence-relevant biological threat detection. The work supports the Australian Defence Force’s CBRNE capability and aligns with Sovereign Defence Industry Priorities 3 and 5, contributing to Australia’s sovereign AI-driven threat decision support capabilities. 

Project Tasks

  • Review biosensor signal-processing methods and define signal, metadata and confidence-scoring requirements; implement a data pipeline for synthetic/legacy and live nanosensor inputs. 
  • Develop a prototype AI-assisted workflow for noise reduction, crosstalk correction and biological signal classification using simulated or available sensor data; evaluate model performance and produce a readiness report. 
  • Test workflow performance against validation metrics (RMSE < 10%, accuracy ≥ 90%, latency < 500 ms); assess scalability from two channels to a 10–12 channel multiplexed array; refine models using real nanosensor data. 
  • Deliver final report, code/notebook, validation recommendations and integration roadmap for future bench-top and wireless biosensor development. 

Intern Skills

  • Signal processing or sensor data analysis, and machine learning or statistical modelling. 
  • Python, MATLAB or equivalent analytical tools. 
  • Biosensor, electrochemical sensor or biomedical engineering knowledge (desirable). 
  • Data visualisation and scientific reporting. 
  • Interest in defence health, biosecurity, CBRN or field-deployable sensing. 
  • Critical thinker, self-motivated, adaptable, with strong communication skills and attention to detail. 

    How to apply

    Eligible students (Australian citizens or permanent residents) apply via the online application form and submit a CV and motivation letter by 6 September 2026.

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