54 artificial-intelligence positions at Monash University

Formal Explainability in Artificial Intelligence

Artificial Intelligence (AI) models are widely used in decision making procedures in many real-world applications across important areas such as finance, healthcare, education, and safety critical

End-to-End Prediction and Optimisation for Neuro-Symbolic Artificial Intelligence

this question into several independent questions. This project will also contribute to an effort at Monash University in developing neuro-symbolic artificial intelligence methods. Required knowledge This project

Combating antimicrobial resistance through use of artificial intelligence and genomics

Antimicrobial resistance (AMR) is one of the most significant and immediate threats to health in Australia and globally. We are working on harnessing new technologies such as artificial intelligence

Leveraging Artificial Intelligence for Deorphanisation of G protein-coupled Receptors: Predictive Models and Ligand Design (scholarship provided)

orphan receptors, with their endogenous ligands and physiological functions remaining elusive. This project aims to bridge this knowledge gap by leveraging artificial intelligence (AI) to predict

Explainable Artificial Intelligence for Predicting and Explaining Critical Software Defects

intelligence techniques (e.g., Deep Learning, Statistics, ML, Optimization) in order to (1) understand the nature of critical software defects like vulnerabilities; (2) predict; (3) highlight vulnerable code; (4

Combating antimicrobial resistance through use of genomics and artificial intelligence

working on harnessing new technologies such as next-generation sequencing and artificial intelligence to improve the diagnosis, treatment and prevention of AMR infections. The specific aims of this project

Predicting fractures outcomes from clinical Registry data using Artificial Intelligence Supplemented models for Evidence-informed treatment (PRAISE) study

Project description: On behalf of the Victorian Orthopaedic Trauma Outcomes Registry (VOTOR), we will establish the role of artificial intelligence (AI) deep learning to improve the prediction

Associate Professor of Engineering (Mechanical, Aerospace, Robotics or Biomedical)

existing areas of focus, including Mechanical Engineering, Aerospace Engineering, Biomedical Engineering, Robotics, Artificial Intelligence, Advanced Manufacturing or Automation. To be successful in

Research Fellow (SensiLab)

Creativity. This project aims to develop explainable models for creative Artificial Intelligence systems that enable productive and high-quality interactions between AI systems and their human co-creators

PhD Scholarship in Data-Driven Polymer Synthesis

artificial intelligence guided synthesis. In our research group we strive to apply these methods towards polymer synthesis, and to harvest its benefits. In this PhD project, we will work on one