Research Fellow in Bayesian Statistics

School of Mathematical Sciences





Fixed-term, full-time appointment for three years



Reference Number: 26234



A position is available for applicants with a PhD in statistics, biostatistics, applied probability or aligned discipline, a record of research publications and a keen interest in joining a large team investigating new methodology for the analysis of data using computational Bayesian and classical techniques, with application to scientific areas. 



Closes: 15 July 2006



Salary: $60 851 to $72 267 pa  



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Benefits available at QUT include 17% employer superannuation contributions, a generous study assistance scheme, salary packaging, relocation assistance (if applicable), extensive development and training programs and access to a range of state-of-the-art facilities.



DUTY STATEMENT



Purpose of Position and Organisational Relationships



The position is located primarily in the School of Mathematical Sciences at QUT’s Gardens Point Campus, Brisbane. Ideally, the appointee will have a PhD in statistics with a specialisation in Bayesian statistics, and have computational skills in statistical software. The School of Mathematical Sciences has a focus on applied statistical and stochastic analysis with Professors Vo Anh, Kerrie Mengersen (ARC Centre of Excellence Node in Bayesian Learning) and Adjunct Professor Malcolm Faddy. The appointee would carry out research on a suite of collaborative projects (involving applied statistics in a variety of applications areas in collaboration with staff of hospitals in Brisbane) and in theoretical  research undertaken in statistics through ARC Discovery Grants. A major collaborative project involves QUT mathematicians and statisticians and infectious disease and intensive care clinicians at Princess Alexandra Hospital and The Prince Charles Hospital which has been funded by the ARC Linkage Scheme 2003-2007. Other projects involve accident prevention and motor unit number estimation as part of QUT’s Institute of Health and Biomedical Innovation’s research program and funded externally. 



The position will report to the Head, School of Mathematical Sciences. 



Duties include:



•	Undertaking research into algorithm development, novel statistical methods and statistical computing methodology for the particular problems which occur in the collaborative projects involving infectious disease modeling and other applications of Markov processes to hospital data.

	

•	Actively participating in research collaborations with other researchers and the industry partners.



•	Carry out the analysis, writing up and publication of research. 



•	Present research results at workshops and conferences.



•	Assist in the supervision of research and honours students in project-related areas.



•	As necessary, assist in gaining further research funding for the project.



•	Maintain complete and accurate research records.



•	Accountable for complying with health and safety policies, procedures, hazard reporting and safe work practices.



•	Maintain research confidentiality and conform to all requirements for the protection of intellectual property.





SELECTION CRITERIA



Essential:



1.	Completion of a PhD qualification in statistics, biostatistics, applied probability or an aligned discipline such as machine learning.



2.	Demonstrated ability to carry out research using modern computational statistical techniques with an emphasis on Bayesian techniques.



3.	Demonstrated ability to carry out statistical research in various scientific application areas.



4.	Demonstrated well developed written communication skills with a proven track record of contributing to the publication of scientific results in journals and other research publications.



5.	Demonstrated well developed communication skills, such as evidence of conference presentation.



6.	Demonstrated ability to liaise effectively with a range of people.



7.	Demonstrated ethical standards in research including an ability to protect intellectual property.



8.	Knowledge of workplace health and safety principles which will enable the appointee to implement these principles at an appropriate level.





Information for Applicants



This position is located in the ‘Positions open only to Australian domestic applicants’ section.  This position is only open to Australian citizens or applicants who are legally entitled to work in Australia.



This position is fixed term and applicants must be Australian citizens or hold a temporary visa at the time of the closing date for the duration of the fixed term appointment allowing the applicant to work the required hours set out for the period of the fixed term appointment.



Applicants are required to notify the University of any immigration restrictions that may preclude them from fulfilling the terms of any contract of employment offered at QUT.



Smoking is not permitted in QUT buildings, inside QUT vehicles or in any area not designated as a smoking area.





FURTHER INFORMATION: Before submitting an application, applicants should refer to all additional information listed at qut.com (see Jobs at QUT) regarding conditions of employment, applying for positions and information about the University. For further clarification about this position, after reading the selection criteria and duty statement, contact Tony Pettitt on (07) 3864 2309, e-mail: [log in to unmask] If you require further information on conditions of employment contact the Human Resources Department on (07) 3864 4175 or e-mail: [log in to unmask]



APPLICATIONS: Applications and envelopes should quote 26234. Applicants are encouraged to systematically address the selection criteria and include a copy of academic qualifications and experience plus the names, address (postal and/or e-mail), phone and fax numbers of three referees. Applications should reach the Associate Director, HR Client Services, QUT, GPO Box 2434, Brisbane, Qld. 4001 by 15 July 2006. QUT is an equal opportunity employer.