A fixed-term research position is open for a post-doc, or for a PhD student nearing the end of his doctoral program. The goal of the research is to study hybrid collective intelligence systems for decision support in complex open-ended problems. It involves the design and implementation of a hybrid collective intelligence system to exploit the interaction between human experts and artificial agents based on knowledge graphs and ontologies for knowledge representation, integration and reasoning.

Looking for a postdoctoral researcher to work as part of the Melbourne ARC Hub for Digital Bioprocess Development. This 3-year position will examine how relatively sparse high-quality data can be supplemented with lower quality data to enable ‘multi-fidelity’ optimisation for improved decision support for bioprocesses.

The postdoctoral fellow will work on developing constraint programming methods to aid decision support in life science applications. The project will involve exploring a range of possible directions, including but not limited to: Devising specialised models and methods for solving problem substructures in the context of laboratory experiment design. Investigating the hybridisation of constraint programming and other artificial intelligence methods for reasoning and prediction, such as active learning, applied to drug discovery for brain tumours.