149 humanities "University of Melbourne" positions at Monash University in Australia

Volunteer Human Research Ethics Committee Member (Pastoral Care) - Monash University

Volunteer Human Research Ethics Committee Member (Pastoral Care) - Monash University Job no.: 663744 Department/Unit: Office of Research Ethics and Integrity Classification: Volunteer Location

PhD Scholarship for The Impact of Future Human Values and Practices on Australia’s Net Zero and Digital Transitions

PhD Scholarship - The Impact of Future Human Values and Practices on Australia’s Net Zero and Digital Transitions Job No.: 663355 Location: Caulfield campus Employment Type: Full-time Duration: 3

Bayesian-network models for human-machine collaboration to protect pollinator-plant interactions in agriculture and natural ecosystems

Ecological systems are dynamic and complex. Many ecosystems support human food production and in turn are impacted by human food production activity. This creates feedback loops between ecosystems

Deep learning from less human supervision

Although deep learning has produces state of the art results on many problems, it is a data hungry technology requiring a lot of human supervision in the form of annotated data. Potential PhD topic

Human-Centred Multimodal Teamwork Analytics

. If successful, you will join Dr. Roberto-Martinez Maldonado , Prof. Dragan Gasevic ,  and a strong team of academics, researchers and other students at the Centre of Learning Analytics at Monash University

Human-in-the-loop AI for Microgrid Management (position filled)

the inability to explain the decisions to human users, becoming a barrier to AI applications in energy systems. This PhD project aims to design and implement Explainable AI-based human-in-the-loop algorithms

Human-Centric Defect Prediction: Predict and explain human-impacting defects

Defect prediction has been developed for more than four decades. Yet, a multitude of human aspects (i.e., both developers and end-users) have been rarely considered and incorporated. Thus

Human-in-loop machine learning

requires substantial human expertise. Conversely, in real-world scenarios and after just a few data samples, humans are able to quickly uncover the underlying pattern of apparently patternless data and to

Visual aids for human reasoning with causal Bayesian networks

This PhD project is funded by a successful ARC Discovery Project grant: "Improving human reasoning with causal Bayesian networks: a user-centric, multimodal, interactive approach" and the successful

Mixed-Reality Human-Machine Symbiosis for Maintenance Tasks in Physically Embedded Workflows

information in the spatial context of the task at hand.  To achieve this the computer guidance system needs to be aware of the environment through a rich digital-twin model that is kept up-to-date in the face