420 professor-computer-"https:"-"https:"-"https:"-"https:"-"Keele-University" positions at Monash University
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Candidates should hold a previous degree (Bachelor’s and/or Master’s) in Computer Science, Data Science, Robotics, Mechatronics, or Software Engineering, with demonstrated knowledge in machine
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-employment and/or background checks required for the role, as determined by the University. Enquiries: Associate Professor Daniel Horsley, School of Mathematics, daniel.horsley@monash.edu Position Description
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Ashton Nixon Scholarship Sir John Monash Scholarship for Achievement The Ashton Nixon Scholarship is supported by Associate Professor Rosemary Nixon AM to support undergraduate students embarking
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Monash Leaders Scholarships Monash Leaders Scholarships are awarded to applicants that demonstrate leadership and commitment to give back to the community through the Access Monash Mentoring program
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classification'', Computer Journal, Vol 11, No 2, August 1968, pp 185-194 Wallace, C.S. and D.L. Dowe (1999a). Minimum Message Length and Kolmogorov Complexity, Computer Journal (special issue on Kolmogorov
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Goal Recognition is the task of inferring the goal of an agent from their action logs. Goal Recognition assumes these logs are collected by an independent process that is not controlled by the observer. Active Goal Recognition extends Goal Recognition by also assigning the data collection task...
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. Required knowledge Strong background in machine/deep learning, computer vision, or applied statistics. Solid programming skills in Python and experience with deep learning frameworks (e.g., PyTorch
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methods dealing with model complexity - e.g., AIC, BIC, MDL, MML - can enhance deep learning. References: D. L. Dowe (2008a), "Foreword re C. S. Wallace", Computer Journal, Vol. 51, No. 5 (Sept. 2008
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the different actors' beliefs and intentions. We will study the properties of such explanations, present algorithms for automatically computing them as well as extensions to existing frameworks and evaluate
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that occurs within these biological neural networks, so that these networks can be leveraged for AI applications. In addition, you will develop mathematical and computational neuroscience models