Postdoc Positions in Computational Inference, Univ of Otago (NZ)

We are seeking at least two Postdoctoral Research Fellows in

   - Computational Inference (MCMC) for Inverse Problems

   - Sequential Inference applied to Agritech Sensors

The first project will adapt algorithms from CSE to perform sample-based Bayesian inference (MCMC) in high-dimensional inverse problems. This position would suit a person with strong background in scientific computation or numerical analysis, particularly computational linear algebra and optimization, and would like to apply these ideas in a probabilistic setting to perform uncertainty quantification. Full-time for two years, plus one further year subject to review.

The second project will develop algorithms for sequential inference on dynamical systems that will ultimately be embedded in agritech sensors. This position would suit a person with a strong background in Bayesian statistics, particularly sequential inference, and would like to see these ideas put to practical use -- such as weighing cows.

Full-time for three years, plus two further years subject to review.

For expressions of interest or further information, contact Colin Fox fox@physics.otago.ac.nz

These positions are open until filled. We expect appointments will be made by February 2013. http://elec.otago.ac.nz/w/index.php/Colin_Fox