Post-Doctoral Fellows Positions in UNSW, Australia
Designation/Position- Post-Doctoral Fellows Positions
University of New South Wales, Australia invites application for Post-Doctoral Fellows Positions from eligible and interested candidates
About- This post-doctoral position is based at the Kirby Institute in UNSW, which is a leading global research institute dedicated to the prevention and treatment of infectious diseases. This work sits within The Infection Analytics Program (IAP) which uses mathematical and computational approaches to better understand immunity to major infectious disease threats such as HIV and malaria.
Research/Job Area- Mathematics/physics/statistics or another quantitative discipline
Location- University of New South Wales, Australia
More opportunity – The Arturo Falaschi ICGEB Postdoctoral Fellowship Programmes
- Ph.D., in mathematics/physics/statistics or another quantitative discipline
- Demonstrated ability to model experimental data using one or more of
- Biostatistical analysis methods
- ODE or PDE modeling
- Stochastic modeling
- Computer modeling
- Interest in modeling in immunology and infection dynamics.
- Experience in critically analyzing 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
The successful candidate will develop and use mathematical models to interpret experimental and clinical data to help understand the dynamics of host-viral interactions in HIV infection (animal and human). To succeed in this position you will develop familiarity with the HIV literature and the underlying biology, be able to analyse experimental data using biostatistical analysis, ODE and stochastic modelling and be able to use hypothesis testing to address the underlying mechanisms of infection and immunity.
This is an interdisciplinary field that applies techniques of computer science, applied mathematics, and statistics to address biological problems, hence you will not only have skills to create and analyse mathematical models but at the same time understand the models from a scientific perspective.
- Opportunity to work on SIV / HIV infection dynamics
- Create and analyze mathematical models
- (Level A or B) $96K-$126K plus 17% superannuation and leave loading (pro-rata if part-time)
- Fixed-term 3 years, full time or part-time