10 deep-learning-phd positions at Monash University

PhD Scholarship in Multimodal Biomedical Imaging

the tuition fee scholarship and Single Overseas Health Cover (OSHC) for the successful international awardee. The Opportunity A full PhD Scholarship is currently available for research into deep learning

Research Fellow - Embodied AI & models of human decision-making for robot learning

to train human-robot interaction policies in simulation. These models will be constructed by identifying and integrating known human behavioural biases into deep learning models fit to human data. Working

Active Learning for Language and Multimodal Applications

This PhD project aims to mitigate the data scarcity of new NLP and Multimodal applications by developing novel active learning algorithms. In this project, the student will leverage large foundation

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

Machine Learning for faster and safer MRI and PET imaging

Discovery Project, this research aims to develop highly novel physics-informed deep learning methods for Magnetic Resonance Imaging (MRI) and Positron Emission Tomography (PET) and applications in image

Precision medicine for paediatric brain cancer patients

The proposed PhD project aims to build a machine learning/deep learning-based decision support system that provides recommendations on precision medicine for paediatric brain cancer patients based

Automatic Generation of Graphics for People Who Are Blind

techniques. It may also include hardware development of wearable assistive devices that use audio and haptic feedback. Required knowledge Image processing Computer vision Deep learning Programming (Python, C

Multimodal Output Generation to Assist Blind People for Data Exploration and Analysis

addition to audio. Candidates will be expected to devise novel multi-modal generation models by incorporating ideas and techniques from various techniques, such as causality, deep learning, deep reinforcement

Mobility data-driven planning of electric vehicle charging infrastructure for decarbonising energy and transport systems (position filled)

PhD project abstract The adoption of electric vehicles (EVs) is widely accepted as a fundamental approach to mitigating climate change for a sustainable future with cleaner energy and transport

Developing classifiers for offensive material

This project will seek to further the research into and development of machine learning techniques that may be used to triage, classify, and otherwise process material of a distressing nature (such