12 machine-learning positions at Deakin University in Australia

PhD Scholarship in Developing Solid Electrolytes using Machine Learning

scholarship is available at the Institute for Frontier Materials (IFM), Deakin University. This project will develop solid electrolytes using combined machine learning (ML), molecular modelling, and

Associate Professor / Professor, Artificial Intelligence and Machine Learning

& machine learning who has the ambition to lead innovation in education and employability, research and industry engagement. The School of Information Technology is positioned at the cutting edge of future

Systems Team Leader

; flexible working arrangements to help manage your work-life balance; ongoing learning and development opportunities to grow your career; an inclusive and supportive culture and environment to work in, both

EOI - Sessional academic - Artificial Intelligence

: • Qualifications and experience in AI, machine learning, or data science and mathematics. • Successful candidates will be assessed to ensure qualifications meet Standard 3.2.3 of the Higher Education Standards

EOI-Sessional Academic – Data Science

skills in Python and/or R, data wrangling skills, mathematics, statistics, machine learning, deep learning, Bayesian analysis, graphical models, Big data processing, such as Hadoop, Spark, etc and

Sessional academic - Artificial Intelligence

: • Qualifications and experience in AI, machine learning, or data science and mathematics. • Successful candidates will be assessed to ensure qualifications meet Standard 3.2.3 of the Higher Education Standards

Alfred Deakin Postdoctoral Research Fellow

Materials (IFM), Deakin University. This project will develop solid electrolytes using combined machine learning (ML), molecular modelling, and experimental characterisation methods. We are looking

Associate Research Fellow, Optimisation Modelling

relevant qualifications and experience Knowledge of Natural Language Processing and Machine Learning,  strong programming skills. Preferably knowledge in one or more of ontology, structure grammar, and

Associate Research Fellow, Marine Biophysics

to purchase additional leave; flexible working arrangements to help manage your work-life balance; ongoing learning and development opportunities to grow your career; an inclusive and supportive culture and

Sessional Staff in the Department of Information Systems and Business Analytics

; artificial intelligence for business; digital transformation; machine learning; data science; cyber security; enterprise systems; project management. We can offer flexibility across – days when you can work