The infection Analytics team at UNSW Sydney is seeking a post-doc / research fellow in mathematical biology, to model infection dynamics in malaria 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 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.
About the role
- $75k- $123k plus 9.5% superannuation and leave loading
- 2 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 malaria literature and underlying biology, biostatistical analysis, and ODE and stochastic modelling.
About the successful applicant
To be successful in this role you will:
- Demonstrated mathematics, statistics, or computer programming skills relevant to modelling of experimental data.
- Interest in modelling in immunology and infection dynamics.
- Proven evidence of publications in peer reviewed journals
- Success in funding applications, student supervision and superior publication output required at the higher levels
- Post graduate degree, preferably PhD, in mathematics / physics/statistics or other quantitative discipline at the lower level and a PhD in Statistic or Mathematics at the higher level
The advertisement can be found on the UNSW website:
http://external-careers.jobs.unsw.edu.au/cw/en/job/495979/research-associatepostdoctoral-fellow
Closing date: 24 Feb 2019.
More information on the group’s work can be found at:
http://www.researchgate.net/profile/Miles_Davenport
Contact:
Professor Miles Davenport, Program Head, IAP
T: (61 2) 9385 2762
Or Dr David Khoury