134 Humanities uni jobs at Monash University in australia

Lecturer - Human Geography

Lecturer - Human Geography Job No.: 661434 Location: Clayton campus Employment Type: Full-time Duration: 3-year fixed-term appointment Remuneration: $111,603 - $132,529 pa Level B (plus 17% employer

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

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

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

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

This scholarship will provide a stipend allowance of $29,000 AUD per annum for up to 3.5 years, plus $4,000 travel allowance. If you are currently in Australia you are strongly encouraged to apply. If successful, you will join Dr. Roberto-Martinez Maldonado , Prof. Dragan Gasevic ,  and a strong...

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

Cooperation between artificial agents and human subjects

The future of AI technology is an ecosystem of many artificial agents acting with autonomy on behalf of human subjects. Examples include, a plethora of self-driving cars, or hordes of automated