[ABE-L] 2 postdoc positions funded by ARC Center of Excellence on Mathematical and Statistical Frontiers

[Dani Gamerman]

> Postdoctoral Research Associate,
> School of Economics
> UNSW School of Business
> Number of positions: Up to two positions.
> Duration: 23 months from time of appointment, with a possible 
> extension for a further 12 months. Deadline: May 11, 2015.
> 
> POSITION SUMMARY
> To conduct research funded by the ARC Centre of Excellence for 
> Mathematical & Statistical Frontiers (ACEMS) (http://acems.org.au/). 
> The project will develop exact and approximate Bayesian methods to 
> deal with problems where the likelihood is intractable, either 
> because it cannot be computed analytically, or because it is too 
> expensive to compute. The focus will be on methods that are 
> semiparametric and nonparametric and that are scalable in terms of 
> the number of observations, dimension of the variables and that are 
> amenable to distributed computing. The research will aim to apply 
> the methods in a number of areas including Health research, models 
> of decision-making from cognitive science, analysis of spatial and 
> spatial temporal data, and financial models. The research will be 
> led by Robert Kohn who is a Chief Investigator of ACEMS and there 
> will also be opportunities to work with the other researchers from 
> the UNSW node of ACEMS including Scott Sisson (Approximate Bayesian 
> Computation, symbolic data analysis, big data, distributed 
> statistical computing), Chris Carter (sequential Monte Carlo,
>  multivariate analysis and graphical models) , and Sally Wood 
> (mixture models, panel data, spectral analysis) .
> 
> For further details see REF 10706 at  http://www.jobs.unsw.edu.au/ 
> from Friday 10th April and also please contact Professor Robert Kohn 
> on r.kohn em unsw.edu.au or +61 424802159.
> 
> Concurrently, a third postdoc position will be advertised to work on 
> Health and Health Economics related problems. See REF 10708 at  
http://www.jobs.unsw.edu.au/


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Dani Gamerman
Depto. de Métodos Estatísticos (DME)
Lab. de Sistemas Estocásticos (LSE)
Instituto de Matemática - UFRJ
http://www.dme.ufrj.br/dani
www.statpop.com.br
fbook: StatPop, twitter: @blogStatPop
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