Employer: University of Technology Sydney
Closing date: Open until filled
Brief position description: 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.
Requirements:
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.
Commencement date:
Applicants would be expected to commence studies in the Spring 2018 or Autumn 2019 terms (August 2018 or March 2019).
Contact:
Informal enquiries can be sent to aaron.darling@uts.edu.au or mathieu.fourment@uts.edu.au
Job website: http://darlinglab.org
Contact name: Mathieu Fourment
Contact email: mathieu.fourment@uts.edu.au