19 machine learning positions at Queensland University of Technology in Australia

Casual Student Success Partner (Retention) (multiple positions available)

Who are we looking for? We are seeking a Casual Student Success Partner (Retention) (multiple positions available) to join Learning and Teaching Unit, Education Portfolio, Academic Division

Casual Student Success Partner (Retention) (multiple positions available)

Who are we looking for? We are seeking a Casual Student Success Partner (Retention) (multiple positions available) to join Learning and Teaching Unit, Education Portfolio, Academic Division

Lecturer/Senior Lecturer in Electrical Engineering (Aerospace and Control)

data streaming in from cameras, devices, and sensors. Our expertise in Power Engineering, Renewable Energy Systems, Robotics, AI/Machine Learning, Computer Vision and Signal Processing allows us to

Associate Professor/Professor Information Security

and engagingly with data, devices, and each other. Our expertise spans information security, machine learning, AI, HCI, data and text mining, cloud computing, and AR and VR. The impact of our research

Associate Professor/Professor Information Security

and engagingly with data, devices, and each other. Our expertise spans information security, machine learning, AI, HCI, data and text mining, cloud computing, and AR and VR. The impact of our research

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

Associate Professor/Professor Information Security

, effectively and engagingly with data, devices, and each other. Our expertise spans information security, machine learning, AI, HCI, data and text mining, cloud computing, and AR and VR. The impact of our

Australia Awards Scholarship

). It’s a chance for you to get help with enrolment, learning skills, language expectations and our technology and teaching systems. You will receive program information to your student email. Introductory

Research Fellow in Transport Safety

machine learning-based safety models and big data (e.g., trajectory data) handling techniques in transport safety analyses. We’re offering this role as a hybrid position as part of QUT’s commitment

Research Fellow in Transport Safety

-time safety of intersections and motorways, traffic signal design, and vulnerable road user safety. The ideal candidate will have extensive experience in state-of-the-art econometric and machine learning