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Development of bioinformatic methods for real-time analysis of bacterial and viral outbreaks

About This PhD Project

Project Description

We are looking for a talented PhD student to develop methods for real-time
analysis of bacterial and viral outbreaks. The project will be part of
a larger effort with international collaborators in the UK and USA that
aims to develop methods that efficiently and accurately analyse data
streams being generated by laboratories around the world. The project
will provide the student experience in statistical modeling, programming,
bioinformatics, and evolutionary biology.

Undergraduate or postgraduate degree in bioinformatics, computer science,
statistics, engineering or a related quantitative field.

Knowledge and skills to be developed:
Bayesian statistics
Phylogenetics and evolutionary biology
Software development in R, Python, Java, C or C++
Production software engineering
Linux command-line, HPC and cloud computing
Excellent written and oral communication skills

Project supervisors:
Associate Professor Aaron Darling and Dr. Mathieu Fourment

Research environment:
This role is within the ithree institute in the Faculty of Science, one
of the largest faculties at UTS, which is Australia’s top ranked young
university, with a particular focus on research translation. The ithree
institute brings together a team of scientists with diverse skill sets
who collectively address key challenges in the understanding and control
of infectious diseases in humans and animals.

This is an Ausgem-funded ( research project. The successful candidate will be awarded $26,682 per annum over 3.5 years.

Commencement date:
Applicants would be expected to commence studies in the Spring 2018 or
Autumn 2019 terms (August 2018 or March 2019).

Informal enquiries can be sent to or

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