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ALLSTAT  October 2011

ALLSTAT October 2011

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Subject:

PhD Studentship in Bayesian Decision Theory at Trinity College Dublin, Ireland.

From:

Brett Houlding <[log in to unmask]>

Reply-To:

Brett Houlding <[log in to unmask]>

Date:

Fri, 28 Oct 2011 13:11:09 +0100

Content-Type:

text/plain

Parts/Attachments:

Parts/Attachments

text/plain (35 lines)

PhD Studentship in Bayesian Decision Theory commencing Sept 2012

Applications are invited for a three-four years PhD studentship in Bayesian Decision theory within the Discipline of Statistics, School of Computer Science and Statistics, Trinity College Dublin, Ireland. The Discipline of Statistics is primarily concerned with applying the principles of statistical inference and decision theory to applications in a wide variety of areas of science, engineering and the biosciences. Current examples include environmental science, epidemiology, computer science and astronomy. To this end the Discipline has national and international collaborations with scientists in other disciplines, as well as with statisticians across the globe.

Project

This studentship will either be funded by a Trinity College Dublin Postgraduate Research Studentship, or, and if successful, by an award granted by the European Commission under its Information and Communication Technologies proposal call.  

The research project is titled “Bayesian Dynamic Decision Making with Multiple Imperfect Decision Makers”, and concerns complex societal and technical systems that consist of interacting participants that selfishly solve their decision-making (DM) tasks, e.g., road traffic networks or competitive trading firms. The participants typically have multiple objectives, face multi-dimensionality, and uncertainty etc, and their imperfection (inability to devote unlimited computational time to a task, or ignorance of the thoughts of other participants) often has negative consequences, making the DM less efficient than it would be possible in principle.  This project aims at development of a suitable DM theory for such instances and its implementation for various real-world scenarios.

Qualifications

We are looking for a candidate with a strong interest and appreciation of both theoretical and applied statistics/decision theory. The project will require a candidate with a high degree of mathematical and computer literacy. Applicants are required to hold (or anticipate receiving within the next year) a first class honours degree in a mathematical based subject, or equivalent training, as well as good English communication skills (both written and oral). 

Appointment

The position will commence in September 2012 and will remain open until filled.  All fees will be covered and an annual stipend will be provided of at least 8,000 Euros (rising depending on success of the European Commission grant).  Application letters including a current CV along with a covering letter and the names and addresses of two referees should be sent electronically to Brett Houlding [log in to unmask], initial enquiries about the project should also be sent to this address.    


-----
Brett Houlding,
Assistant Professor, Discipline of Statistics, School of Computer Science and Statistics.
Rm 129, Lloyd's Institute.
Trinity College Dublin.
Tel: +353 (0) 1 896 1830
www.scss.tcd.ie/~houldinb

Disclaimer:  The information in this e-mail and in any attachments is confidential and is intended solely for the attention and use of the named addressee(s).  If you are not the intended addressee you may not copy, forward, disclose, retain, or otherwise use this e-mail or any part of it in any way whatsoever and you should notify the author immediately.  The views and opinions expressed in this e-mail are solely those of the author.  They are neither meant to represent, nor do they represent in any way, shape, or form, those of Trinity College, Dublin.

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