Postdoc: scalable Bayesian methods to infer genome evolution, Sydney, Australia

[koadman]

The Darling lab at the University of Technology Sydney, in collaboration with Dr. Erick Matsen's group at Fred Hutchison Cancer Research Center, is exploring statistical inference algorithms for the next generation of genome evolution models. We have the opportunity to support an inspired postdoctoral researcher to join in this effort. In this role you would develop novel statistical methods and software to analyse genomes and metagenomes in forensic and environmental systems. You would be developing scalable approaches to Bayesian inference of phylogenetic models of genome evolution, including but not limited to Sequential Monte Carlo methods, Variational Bayes, hybrid MCMC approaches, and approximate Bayesian methods.

As a Postdoctoral Research Associate your experience and qualifications will include (but not be limited to):

* Ph.D in computer science, statistics, bioinformatics, or quantitative population genetics
* Knowledge of Bayesian phylogenetic inference
* Strong computational, mathematical and/or statistical skills
* Software engineering in C++, Java or Python

UTS offers a friendly and collaborative work culture at its city campus, which is undergoing an exciting redevelopment program. The appointee will join a committed and energetic team within the ithree institute of the Faculty of Science.

Salary: $65,539 - $79,822pa. plus 17% superannuation.

See the UTS page for more information

http://www.jobs.uts.edu.au/job/job_details.cfm?id=813415

Direct questions to Aaron Darling <[email protected]>

http://darlinglab.org

[Torst]

If you find > 1 person that matches those qualifications, let me know :-)