14 phd-learning positions at Queensland University of Technology in Australia

QUT-CSIRO PhD Scholarship in Deep Learning for Hyperspectral Image Classification

) before the human eye can see them. The principal aim of this PhD research program is to develop methods to improve the hyperspectral image classification using deep learning techniques. The developed

Leveraging big data and AI/ML for smart transport solutions (PhD scholarship)

Application dates Applications close15 July 2024 What you'll receive You'll receive: a stipend scholarship of $32,192 per annum for a maximum duration of 3.5 years while undertaking a QUT PhD. The

Preferences, rewards and value alignment (QUT Generative AI Lab PhD scholarship)

of up to 6 months (PhD) if approved for your candidature. This is the full-time, tax-exempt rate which will index annually. You will receive tuition fee coverage, either through a Research Training

Data-driven power system stability and strength analysis (PhD scholarship)

applications in engineering areas. additional background or experience in machine learning, data analytics, and other computer science areas would be an advantage experience in power system simulation software

Bioinformatic Programmer

works, in efforts to improve our quality of life. Teaching is carried out in new state-of-the-art learning spaces and laboratories, and our researchers enjoy world class facilities in multi-campus

Lecturer in Mathematical Modelling

to provide high-quality learning experiences in disciplines covered by the school: applied and computational mathematics, statistics, operations research, engineering, science and health science. About us QUT

Human-Machine Collaborative Driving for Autonomous Vehicles (PhD Scholarship)

Application dates Applications close31 March 2024 What you'll receive You'll receive a stipend scholarship of $30,000 per annum for a maximum duration of 3.5 years while undertaking a QUT PhD. The

Curriculum Planning Toolkit Developer

health and physical education. The School offers bachelor degrees in each of the discipline areas as well as postgraduate study at Masters (research), MPhil, and PhD levels. The School has a strong

Research Fellow

consumption of electricity. We make sense of the world’s data streaming in from cameras, devices, and sensors. Our expertise in Power Engineering, Renewable Energy Systems, Robotics, AI/Machine Learning

Postdoctoral Research Fellow in Applied and Computational Mathematics

biology are desirable. There may an opportunity to teach mathematics units in the school. The successful candidate will work closely with Professor Matthew Simpson to develop and deploy numerical algorithms