About This Opportunity
This is an exciting opportunity for a Postdoctoral Research Fellow to join a largely impactful project, The E-DENGUE project, which is funded by the UK Wellcome Trust Fund and being led by the School of Public Health, Faculty of Medicine. This positionwill develop a local-level dengue forecasting system in the Mekong Delta Region of Vietnam. The project will involve model development and validation, with heavy input from local stakeholders. The model outputs will be used to develop a planning app for use by local health authorities in Vietnam.

The position is based at the University of Queensland (Brisbane, Australia), with research visits with collaborating researchers at Yale School of Public Health (New Haven, USA). The ideal candidate will have experience in applied statistics, data analytics, and/or infectious disease modelling, with a strong track record of productivity during their PhD. The successful candidate will be supported with a package of 3-month visiting scholarship to work with the team at the Yale School of Public Health, Yale University, United State of America

Key responsibilities will include:

• Develop and validate forecast models to predict dengue incidence and outbreaks,
• Provide the technical inputs to the development of Software/App system and statistical analysis across the technical themes of the E-DENGUE project, whilst producing quality research outputs consistent with discipline norms by publishing or exhibiting in high quality outlets.
• Produces quality research outputs consistent with discipline norms by publishing or exhibiting in high quality outlets.
• Work with colleagues in the development of joint research projects and applications for competitive research funding support.
• Demonstrate citizenship behaviours that align to the UQ values.
• Shows leadership of self through collaboration and active participation in priority activities for the unit
• Contribute to the effective supervision of Honours and Higher Degree by Research students (as appropriate)

This is a full-time (100%), fixed-term position, that will ideally commence during the fourth quarter of 2023 through until December 2026. At Academic level A, the full-time equivalent base salary will be in the range $74,308 - $99,426 plus a generous super allowance of up to 17%. The total FTE package will be up to $86,941 - $ 116,329 annually.

About You

• Completion or near completion of a PhD in the discipline areas such as infectious disease epidemiology, biostatistics, environmental health sciences, as epidemiology.
• Demonstrated experience with applied statistics, data analytics, and/or infectious disease modelling, particularly with spatial statistics, Bayesian methods, and/or time series analyses.
• Demonstrated experience and skills in programming with R or Python ideally applied in infectious disease and/or spatial modelling or relevant aspect of health research.
• An emerging profile in research in the discipline area.
• Evidence of publications in reputed refereed journals and presenting at conferences.
• Evidence of contributions towards successfully obtaining external research funding.

In addition, the following mandatory requirements apply:

• Work Rights: Visa sponsorship may be available for this appointment.
• Mandatory Immunisations: It is a condition of employment for this role that you will be required to provide evidence of immunisation against certain vaccine preventable diseases.