Position title: Research Fellow - Phylogenetics

Employer: University of Technology Sydney

Closing date: Wednesday 4th March 2020

Brief position description: • Early career research role
• Full-time role for fixed term of 2 years
• Base Salary PLUS 17% superannuation

The UTS ithree institute is looking to appoint a Research Fellow to work on a project looking at real-time phylogenetics for food-borne outbreak surveillance. The project aims to introduce, for the first time, real-time evolutionary analysis of agricultural pathogens so that outbreaks affecting crops and the food supply can be managed precisely and rapidly. An expert team will implement a large-scale data analytics framework in user-friendly software that integrates Australian infectious disease genomics data with global data. Expected outcomes include new knowledge of statistical algorithms for evolutionary analysis, relevant to biological disciplines beyond infectious disease; and enhanced capacity for infectious disease analysis.

About the role
In this role, you will develop and publish real-time surveillance algorithms to detect and track food-borne outbreaks and analyse microbial data using bioinformatic tools. You will produce high quality publications, and deliver presentations at research seminars and international conferences. You will also mentor a team of students in carrying out related research projects and may have the opportunity to engage in tutorial development and delivery.

Working alongside experts in the field, this is an ideal opportunity for an early career researcher to contribute to collaborative and innovative research while developing and enhancing their own research profile.

The successful applicant will work part of their time at the Elizabeth Macarthur Agricultural Institute, the NSW Department of Primary Industries Centre of Excellence for Plant and Animal Health.

About you
You will have previous research experience in bioinformatics and microbial genomics and population genetics. You will have a strong writing ability demonstrated by a developing record of peer-reviewed journal publications.

You will also have:
• Skills in software development in R, Python, Java, C or C++
• Skills in Linux command-line, HPC and cloud computing
• A PhD degree in bioinformatics, statistics, mathematics, physics, computer science, engineering or a related quantitative field.

A demonstrated interest in further developing skills in phylogenetics and evolutionary biology as well as Bayesian statistics would be highly regarded.

More information and a position statement available on the UTS website.

Job website: http://bit.ly/2UqGkZS

Contact name: Mathieu Fourment

Contact email: Mathieu.Fourment@uts.edu.au