53 machine learning positions at University of Adelaide in Australia

Systems Administrator- Australian Institute for Machine Learning

Administrator to be part of the Australian Institute for Machine Learning’s (AIML) award winning Industry Solutions team which develops machine learning algorithms, tests, delivers and maintains software systems

Postdoctoral Research Fellow (A/B) (with PhD)

-achieving postdoctoral researcher to join a world-leading research group in Computer Security and Machine Learning as well as Computer Science department ranked 48th in the world and The University

Management Accountant

legislation. Strong analytical skills and demonstrated experience in the collection, manipulation, analysis and reporting of data. Demonstrated computer skills, including experience with financial systems and

Postdoctoral Research Fellow A or B – Sustainable Operations and Supply Chains

needs. Professor Kannan Govindan and Associate Professor Devika Kannan lead this new centre. Prof Govindan explores the use of industry 4.0 technologies (blockchain, big data, AI, machine learning, and

Postdoctoral Research Fellow A or B – Resilient Supply Chains

needs. Professor Kannan Govindan and Associate Professor Devika Kannan lead this new centre. Prof Govindan explores the use of industry 4.0 technologies (blockchain, big data, AI, machine learning, and

Data Scientist

with expertise in machine learning models, particularly in the areas of classification and predictive modelling. The ideal candidate will have a strong background in applying data science techniques

Postdoctoral Research Fellow (B/C) -Innovation

arrangements can be negotiated with the right candidate. Be part of the Australian Institute for Machine Learning – the largest computer vision and machine learning research group in Australia – and contribute

Postdoctoral Research Fellow A/B in Water Resources Infrastructure

. This position will involve the development of data analysis techniques (including machine learning) and process-based algorithms to diagnose and interpret high-frequency hydraulic data for the purpose

Senior Project Officer

experience in leading small teams to meet organisation goals. Proven experience in change management and continuous improvement. Demonstrated expertise in the use of computers and computer software, including

SmartSat CRC and SA Water PhD Scholarship - Advancing the monitoring of seagrass dynamics with hyperspectral remote sensing

physical attributes will support and improve the mapping of seagrasses. · Develop machine learning models and object-based image processing algorithms to differentiate and identify seagrass habitat