40 artificial-intelligence uni jobs 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

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

Associate Professor/Professor (Identified position - Women)

in Information and Computing Sciences Rated ‘Well above world standard for Artificial Intelligence and Image Processing’ (State of Australian University Research 2018-19: ERA National Report) Rated

Measures of Simplicity in Optimisation-based Machine Learning

), "Message Length as an Effective Ockham's Razor in Decision Tree Induction", Proc. 8th International Workshop on Artificial Intelligence and Statistics (AI+STATS 2001), pp253-260, Key West, Florida, U.S.A

Machine learning based kinetic modeling on the thermal decomposition of plastic waste via pyrolysis

Computer Science and/or Chemical Engineering or equivalent; 2) Excellent mathematical and programming skills, in particular in the areas of Artificial Intelligence (AI) and machine learning including deep learning