Site icon R-bloggers

Bayesian job in Cambridge

[This article was first published on Xi'an's Og » R, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here)
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.

Here is an email that could appeal to some readers:

Job in Cambridge MRC-BSU – Bayesian statistician
Career development fellow
MRC Biostatistics Unit, Cambridge

We are offering an exciting opportunity to work on Bayesian models for infectious disease dynamics. A statistician is required to contribute to a programme of research to develop inferential approaches to estimation and prediction of epidemic evolution when relevant information, possibly from diverse sources, arrives at regular intervals, and, likely, in real time. Examples include the monitoring and prediction of long standing epidemics such as HIV, as well as new emerging epidemics (e.g. Swine Flu). Challenges include the need to synthesise heterogeneous and biased information to produce timely updates of epidemic evolution. You will have a PhD in statistics, or a relevant discipline; computing experience, both of statistical packages (e.g. R) and programming languages (e.g. C, C++); and experience of Bayesian statistics. Experience of Bayesian computation (e.g. MCMC) and of Bayesian inference for disease transmission would be advantageous. You must have good communication skills and be able to contribute substantially to writing scientific papers. Starting salary will be in the range of £26,022 – £28,764 per annum.

Applications are handled by the RCUK Shared Services Centre; to apply please visit our job board to view the full job description and person requirements and complete an online application quoting reference IRC18709. If you are unable to apply online please contact us on 01793 867003.

Closing date: 11th May 2011 Interview date: 25th May 2011


Filed under: R, Statistics, University life Tagged: Bayesian statistics, biostatistics, Cambridge, job offer, MRC Unit
To leave a comment for the author, please follow the link and comment on their blog: Xi'an's Og » R.

R-bloggers.com offers daily e-mail updates about R news and tutorials about learning R and many other topics. Click here if you're looking to post or find an R/data-science job.
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.