14 machine-learning-phd positions at The University of Queensland

Machine Learning and Data Processing Specialist

an Enterprise Agreement, you will also receive regular remuneration increases – at least once a year. About You PhD degree in Machine Learning, Computer Science, Data Science, or a related discipline with

Lecturer / Senior Lecturer in Software Engineering

, and AI/Machine Learning for energy management will be highly regarded. Join a team of world class colleagues at the leading-edge of computer science, IT and electrical engineering. Based at our vibrant

Senior Lecturer/Associate Professor in Robotics

excellence in research and teaching, contributing to our growing international profile. Key responsibilities will include but are not limited to: Teaching and Learning Research Service and Engagement

Postdoctoral Research Fellow Crop Trait Prediction with ML

career progression opportunities via the academic promotions process. About You Completion or near completion of a PhD in the discipline area In-depth understanding of fundamentals of machine learning and

Postdoctoral Research fellow in Human-Centred AI for Decision Support

: Completion or near completion of a PhD in either machine learning or a related area, OR HCI, human factors, psychology applied to AI, or a related area. Required: An emerging profile in research in the area of

Postdoctoral Research Fellow in Multimodal Foundation Models in Smart Agriculture

You Completion or near completion of a PhD in the computer science or relevant field. Experience with deep learning frameworks (e.g., TensorFlow, PyTorch) and familiarity with Multimodal Foundation

Postdoctoral Research Fellow/Research Officer - School of Mechanical and Mining Engineering

application of AI approaches (Machine Learning, Deep Learning, and Computer Vision etc.) to enhance the machining process and the quality of the product. Develop and evolve novel AI methods, including enabling

Research Fellow – Computational Biologist – Protein Design

machine learning methods to predict protein structures, predict peptide and protein interactions, and design new peptide drugs and crop protection agents. The work is funded by the Australian Research

Research Fellows – Substance Use and Mental Health

, co-design workshops, cluster randomized controlled trials (RCTs), implementation science, data linkage, data science, machine learning and artificial intelligence. These are research focused positions

Research Fellow – Computational Chemist - Peptide Permeability

) to use computational analysis and machine learning methods to interpret data relating to the screening and development of peptide-based drug leads with a particular focus on optimising their permeability