[ABE-L] Postdoc on Flexible Methods for Latent Variable models applied to Health Economics and Health research.

[Dani Gamerman]

> There is also this third position.
> 
> Postdoctoral Research Associate,
> School of Economics
> UNSW School of Business
> 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 an ARC Discovery grant on Flexible 
> Methods for Latent Variable models applied to Health Economics. The 
> work will be motivated by current research questions arising in 
> Health Economics and by problems encountered with data used more 
> generally in Health research. The project will develop semi-
> parametric and nonparametric methods for panel data models whose 
> likelihood is often intractable either because it cannot be computed 
> analytically or because it is too expensive to compute. An important 
> part of the methodology will be the treatment of endogeneity and 
> other issues arising in policy evaluation. The statistical and 
> econometric methodology will be scalable both in terms of the number 
> of observations and dimensions of variables and in terms of its 
> ability to be carried out in a distributed computing environment. 
> The methods will be based on both Bayesian and frequentist ideas. 
> The research will be led by Professor Robert Kohn together with 
> Professors Denzil Fiebig and Chris Carter.
> 
> For further details see REF 10708 at  http://www.jobs.unsw.edu.au/ 
> from Friday 10th April and please also contact Professor Robert Kohn 
> on r.kohn em unsw.edu.au or +61 424802159.
> 
> Concurrently, two other postdoc positions will be advertised to work 
> on research funded by an ARC Center of Excellence for mathematical 
> and Statistical Frontiers (ACEMS) grant. See REF 10706 at  
> http://www.jobs.unsw.edu.au/ from Friday 10th April and please also 
> contact Professor Robert Kohn on r.kohn em unsw.edu.au or +61 424802159.


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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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