Position title: Research Associate - Phylogenetics

Employer: University of Technology Sydney

Closing date: Wednesday 4th March 2020

Brief position description: • Early career research role
• Full-time / part-time flexibility
• Base Salary PLUS 17% superannuation

About the role
In this role you will be tasked with developing and publishing novel theorems regarding statistical efficiency, producing high quality publications, and delivering presentations at research seminars and international conferences. You may also 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.

About you
You will have previous research experience in data science with solid skills in Bayesian statistics and computational statistics (Monte Carlo methodology, sequential Monte Carlo, Markov chain Monte Carlo). You will have a strong writing ability demonstrated by a developing track record of peer reviewed publications.

You will also have:
• Skills in programming languages such as R and python
• A PhD degree in statistics, mathematics, physics, computer science, engineering or a related quantitative field.

A demonstrated interest in further developing skills in HPC and cloud computing; and applying quantitative skills to biological problems related to the field of phylogenetics and evolutionary biology would be highly regarded.

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

Job website: http://bit.ly/380J5oK

Contact name: Mathieu Fourment

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