55 machine-learning-phd PhD scholarships in australia

Thrive: Next Generation Grads – PhD – Stat. Machine Learning and Data Sci.

top researchers in data science (UTS) and social sciences (WSU and ANU) to develop statistical machine learning solutions for social good. This 3.5-year PhD project focuses on addressing social

PhD Scholarship in Machine Learning

Join our multidisciplinary research team to develop and apply machine learning and bioinformatic algorithms in biomedical research. This PhD project will focus on developing machine learning

PhD Scholarship in Computer Vision and Machine Learning

the following knowledge and/or experience are highly preferred: Computer Vision, Signal Processing, Machine Learning knowledge and/or; Experience Industry knowledge and/or; A track record of published

PhD Scholarship in Machine Learning-Enabled Processing and Visualization of Dissolved Metal Ion Sensing Data

The PhD candidate will gain intensive knowledge in innovative processing protocols for chemical sensing and to develop data acquisition system with the Machine Learning (ML) and/or Deep Learning (DL

PhD Scholarship in Privacy-Preserving Trustworthy Distributed Machine Learning Using Differential Privacy and Blockchain

in implementing feasible blockchain-based solutions to support trustworthy machine learning. An opportunity for two talented students to undertake their PhDs on two projects that concentrate

University of Adelaide Research Scholarship and Supplementary Scholarship Opportunity - Ethics of Healthcare AI

The Ethics of Healthcare AI by the Australian Institute for Machine Learning is to support a full-time PhD student who is interested in pursuing research on the responsible and ethical evaluation

PhD Scholarship - Network science and covert threats

extremist networks, the project will use advances in analytics and machine learning to model and reveal effective intelligence targeting and disruption strategies. For more information, please see https

2025 RTP round - Transforming Smart Bridge Monitoring by Computer Vision and Edge Computing.

Bridge Monitoring by Computer Vision and Edge Computing.”  PhD candidates involved in this project will be trained under the supervision of Prof. Jun Li and Dr. Zhen Peng in the emerging field of smart

2025 RTP round - Decoding the Learning Dynamics and Learnt Features of Deep Neural Networks: Towards Interpretable and Robust AI Systems.

reliable. This project will be supported by a robust infrastructure and an intellectually stimulating environment within our machine learning group. The PhD student will be supervised by two highly

2025 RTP round - Large Multimodal Model Powered Safe Policy Learning for Field Autonomous Robots.

autonomous robotic systems. The PhD student will be supervised by two supervisors with complementary expertise in robotics and machine learning. They have strong track records of research excellence with