Post-doc in modelling HIV latency, UNSW Sydney Australia

The Infection Analytics team at UNSW Sydney is seeking a post-doc / research fellow in mathematical biology, to model viral and immune dynamics in HIV infection.

The Infection Analytics Program at the Kirby Institute is an interdisciplinary team including applied mathematicians, physicists, and computer scientists, who collaborate widely with around 30 experimental groups around the world to model within-host and epidemiological aspects of infection and immunity. The group has a high publication output and a strong history in successful interdisciplinary training. It is an ideal venue for students or post-docs with a quantitative background (mathematics / physics / statistics) aiming to establish themselves in mathematical biology.

UNSW Sydney is a ‘top 50’ ranked global university, situated 5 km (3 miles) from Central Sydney, and 1.5 km (1 mile) from Sydney’s beaches.

More information on the group’s research is available at the Infection Analytics website:

https://kirby.unsw.edu.au/program/iap

http://www.researchgate.net/profile/Miles_Davenport

About the role

$78,890 – $105,185 (min. $98,342 with a PhD) plus 17% superannuation and leave loading
3 years Full-time or part-time.
The position of Post-Doctoral Fellow will be responsible for mathematical modelling of experimental data from animal models and human infection. This will involve developing familiarity with the HIV literature and underlying biology, biostatistical analysis, and ODE and stochastic modelling.

About the successful applicant

To be successful in this role you will have:

PhD, in mathematics / physics / statistics or other quantitative discipline
Demonstrated ability to model experimental data using one or more of
Biostatistical analysis methods
ODE or PDE modelling
Stochastic modelling
Computer modelling
Interest in modelling in immunology and infection dynamics.
Experience in critically analysing and reporting on an existing scenario using relevant real-world data combined with mathematical, statistical or computer models.
Creativity in your approach to solving scientific questions.
Ability to describe the impact and significance of your scientific findings to a non-technical audience.
Success in funding applications, student supervision and superior publication output required for appointment at the higher levels.

Applications must be lodged through the UNSW website by 5th November 2021 searching Job No: 503224.

http://www.jobs.unsw.edu.au