Artificial Intelligence (AI) has the promise to accelerate drug development timeframes by rapidly generating effective candidates in silico. The intern will utilise AI to design artificial protein binders that target therapeutically-relevant molecules, to support discovery efforts for next-generation biologics.

This project develops a cost-effective indoor sensing and localisation framework using ubiquitous wireless signals and low-cost embedded hardware. By combining advanced signal processing with practical embedded deployment, it delivers a scalable, privacy-preserving solution for smart buildings, aged care, and industrial safety.

With NASA’s recent commitment to constructing a lunar base there is strong renewed interested in versatile and autonomous lunar rovers and mobility platforms. Wheels have typically been used but due to large wheel slip can have low energy efficiencies and are hard to make robust to dust due to exposed rotating surfaces. Legged rover may change this.

This project advances a next-generation rebreather system the core of closed-loop life support—by developing and integrating a design with a helmet to deliver safe, efficient oxygen supply and CO₂ removal. Your work will directly mature critical life support technologies and help validate systems destined for future space use.

Applied research to prototype an on-device “operator readiness” monitoring system using Samsung wearables to detect fatigue and cognitive overload for astronauts and space supply-chain workers, delivering offline haptic alerts in comms-limited environments and generating privacy-preserving safety insights to support mission planning & shift design.

APR.Intern invite Masters by Research and PhD students to submit an expression of interest to join the APR.Intern database.