Eudaemon is looking for a researcher to help conduct focus groups examining user experience and product interaction with a novel sexual and reproductive health innovation. We are interested in those with traditional and advanced Participatory research experience ranging from survey questionnaires to biofeedback analysis.

Using Computer Vision and Machine Learning algorithm, the project is to detect and track small objects on land (eg: car, truck).

Undertake economic analysis of current crypto economies (focusing on the inflationary aspect within GameFi) in order to establish a system of equations/guiding principles (e.g. Fisher equation) including accompanying policy control levers (e.g. monetary policy) that can be used to describe and control crypto token economies.

Paperclip is looking to develop a framework for modelling crypto tokenomic incentives/outcomes focusing on the hyperinflation issues that plague existing models.

The research will enable Diag-Nose to consolidate its existing biomarker database and evaluate additional candidates for its proprietary panel whilst building additional confidence in its scientific validity. It will also support a clinical trial tool currently under development; potentially enabling better patient outcomes in the near future.

This study will gather information on global examples of tyre derived products used in manufacturing, engineering, adhesives, and rubber composites, to provide TSA with current information to assist with local material recovery of end-of-life tyres in the Australian circular economy.

Defining a robust set of metrics will serve to enable more useful analysis of token economies, in contrast to the arbitrary techniques that currently exist.

Simulation and analysis of a novel design for a decentralised derivatives, with a particular focus on determining the impact of the proposed designs on the effects of volatility decay. In conjunction with the associated “delta neutral” hedging considerations for this novel product.

Silentium Defence is looking to interrogate radar data using non-traditional analysis techniques. Break the mould of doing things the way they’ve always been done – have an industry funded chance at putting your unique ideas into action for an important cause.

This project will enable SA to progress towards having linked patient health data that can be used to provide safe and timely health care and improve health services.

CSL is seeking a Statistics/Biostatistics student to develop a web-based tool in RShiny to streamline the statistical analysis of immunoassay data. This tool will be used by the CSL life scientists for the validation of anti-drug antibody assays, which is a prerequisite for the successful development of biopharmaceuticals.

Radio Frequency (RF) signal classification is an important functionality for cognitive radio applications to improve situational awareness in a noisy and cluttered environment. This project will explore available datasets, generate synthetic dataset, and create a Machine Learning (ML) algorithm for the automatic classification of RF signals.

BioEye is looking to change the way we detect and manage traumatic brain injuries (concussion). Under-diagnosis or early return from rest is a major issue and can cause significant long term damage to a person, BioEye wants to make this a thing of the past.

Industry demand for PhD students remains strong and PhD students are encouraged to join the APR.Intern database. By submitting a general application, eligible students will be contacted for suitable projects with industry partners who are searching for candidates. Students will also have the opportunity to submit a profile for the APR.Intern website available to Industry partners, with the view of creating internship projects.

Industry demand for PhD students remains strong and PhD students are encouraged to join the APR.Intern database. By submitting a general application, eligible students will be contacted for suitable projects with industry partners who are searching for candidates. Students will also have the opportunity to submit a profile for the APR.Intern website available to Industry partners, with the view of creating internship projects.

Industry demand for PhD students remains strong and PhD students are encouraged to join the APR.Intern database. By submitting a general application, eligible students will be contacted for suitable projects with industry partners who are searching for candidates. Students will also have the opportunity to submit a profile for the APR.Intern website available to Industry partners, with the view of creating internship projects.

Industry demand for PhD students remains strong and PhD students are encouraged to join the APR.Intern database. By submitting a general application, eligible students will be contacted for suitable projects with industry partners who are searching for candidates. Students will also have the opportunity to submit a profile for the APR.Intern website available to Industry partners, with the view of creating internship projects.

Industry demand for PhD students remains strong and PhD students are encouraged to join the APR.Intern database. By submitting a general application, eligible students will be contacted for suitable projects with industry partners who are searching for candidates. Students will also have the opportunity to submit a profile for the APR.Intern website available to Industry partners, with the view of creating internship projects.