Machine Learning & Statistical Analysis in Sports Rankings PhD Scholarship
Scholarship Description
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
| Reference Number: | 5365 |
| Study Subject: | Statistics, machine learning and computer science |
| Web Address: | http://www.csse.monash.edu.au/~dld |
| Provided By: | ARC Linkage Grant - LP100200865 - David Dowe |
| To be undertaken at: | Monash University. |
| Level: | Post Graduate (Research) |
Availability
This scholarship is offered once only to one person. Open for applications until February 10, 2012.
Payment Information
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.
Research Information
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.
Eligibility
This scholarship is for study in Australia for those who have achieved Honours 1 or equivalent, or Honours 2a or equivalent.
Application Details
To apply for this scholarship you must refer to scholarship description. You can download a PDF with more information about the scholarship here. Terms and conditions are subject to change. Always confirm details with scholarship provider before applying.
| Main Contact David Dowe (A/Professor) Monash University Phone: 03 9905 5776 Email: David.Dowe@monash.edu Web Site: http://www.csse.monash.edu.au/~dld Address: Clayton School of Information Technology Clayton Vic, Australia 3800 |