Machine Learning & Statistical Analysis in Sports Rankings PhD Scholarship
Research Field: Minimum Message Length (MML), sports rankings & statistics. Rating systems go back as far as Harkness (1949) & better-known Elo (1961) system for rating chess players. More recent attempts have been made to refine these systems in a variety of ways - we use the Bayesian information-theoretic MML principle from statistics, machine learning, econometrics & inductive inference, including dealing with the challenging Neyman-Scott-like situation. Our enhanced modelling will be for a range of games & sports including advantages such as first move (as in chess), home ground & location, surface (as in tennis). We will apply this to rating & ranking individuals & teams. We will also refine how quickly ratings can change depending upon the strength of the player. Application method: Email to David Dowe including (i) your full academic transcript (ii) a brief CV and (iii) a list with full contact details of at least 2 (preferably 3) referees mentioning the nature of your position
|Study Subject:||Statistics, machine learning and computer science|
|Provided By:||ARC Linkage Grant - LP100200865 - David Dowe|
|To be undertaken at:||Monash University.|
This scholarship is offered once only to one person. Open for applications until February 10, 2012.
The value of this scholarship is AUD28715 (maximum per annum). This award is to be used for research. This scholarship is paid fortnightly for the period of up to 3 and a half years.
This scholarship is for one of the following fields of research: INFORMATION, COMPUTING AND COMMUNICATION SCIENCES. It is required that your study starts no later than March 31, 2012.
This scholarship is for study in Australia for those who have achieved Honours 1 or equivalent or Honours 2a or equivalent. There are no restrictions on citizenship.
To apply for this scholarship you must refer to scholarship description. Terms and conditions are subject to change. Always confirm details with scholarship provider before applying.
David Dowe (A/Professor)
Phone: 03 9905 5776
Web Site: http://www.csse.monash.edu.au/~dld
Clayton School of Information Technology