with Dr. Erik 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 analyze genomes and
metagenomes in forensic and environmental systems. You would be
developing scalable approaches to Bayesian inference of phylogenetic
models of genome evolution. Approaches of interest include Sequential
Monte Carlo methods, Variational Bayes, hybrid SMC/MCMC approaches, and
approximate Bayesian methods.
As a Postdoctoral Research Associate 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 further information and to apply:
http://www.jobs.uts.edu.au/
Contact Aaron Darling with questions: aaron.darling@uts.edu.au
--
Aaron E. Darling, Ph.D.
Associate Professor, ithree institute
University of Technology Sydney
Australia
http://darlinglab.org
twitter: @koadman
