Using robotically controlled Atmospheric Plasma technology, we are looking for ways in which Defence coatings can be removed from sensitive materials such as aluminium alloys and military composites.

The goal of this project is to identify cause and effect relationships among financial time series data. Methods will include Bayesian inference, Granger causality and cointegration. The scope will include development of a set of scalable software packages (using Python, Spark etc.) to find and test these relationships.

Research and experiment with a large radio frequency data set to determine the feasibility of different techniques, processes, and tools for efficiently processing data. Find networks, patterns and anomalous behaviour while exploring novel visualisation techniques.

The Achacha fruit can suffer from black spot, smaller than a 5-cent coin but large enough to render the fruit unsaleable in the retail market. We are seeking an understanding of what causes a black/green spot on the Achacha fruit, making it unsaleable.

The research aims to identify any statistically significant differences between the RoToR Payoff Diagrams® options tool and the traditional options education tools used to teach options investing/trading.

Electrical engineering/Signal processing. Smart surfaces for the Internet of Materials (IoM) for structural health monitoring and human-machine-interfaces construction and infrastructure using graphene-enabled large-area sensors.

Consunet are looking for PhD students with a background/knowledge Mathematics – Transforms, Integration, Numerical Programming to explore three-dimensional geolocation.

Consunet are looking for PhD students with a background in data science, mathematics and computer science to explore electromagnetic spectrum prediction.

Consunet are looking for PhD students with a background/knowledge of Mathematics-Optimisation, Computer Science and/or Artificial Intelligence-Planning to explore a planning in the Electromagnetic Spectrum.