Post-Doctoral Research Fellowships
Interdisciplinary Air Pollution, Energy & Health Research
Closing date: Open until filled.
The Centre for Air pollution, energy and health Research (CAR) is an NHMRC Centre of Research Excellence. CAR is based at a network of Universities and research institutes across Australia. CAR is funded by the NHMRC for five years (commenced mid-2017) to support research training and research translation in the interdisciplinary field of air pollution, energy and health.
CAR will examine the health consequences of (1) fossil fuel combustion, (2) landscape fires and (3) alternatives to fossil fuels. These approaches include: a) improved assessments of exposure using sensors, satellites and advanced statistics; b) cohort studies with data linkage; c) detailed measures of physiological endpoints; d) toxicological investigations; and e) intervention studies.
Applications for a Postdoctoral fellowship are now open.
Postdoctoral fellowships are for those interested in a career in air pollution research and/or understanding the impacts of energy transitions on human health. Candidates may come from a variety of backgrounds including medicine, science, public health and epidemiology, occupational and environmental health, computer science or other relevant fields. (Note: Whilst you may apply if your PhD is under examination, you must have your PhD passed before you commence the postdoctoral fellowship – if you are unsure if you are eligible please contact the Executive Officer for details). Applicants will need to be supervised by a CAR Investigator (see list below) and collaboration across institutions is encouraged. Only Australian citizens or residents of Australia or New Zealand, at the time of the application closing date, will be eligible to apply.
Priority Area: CAR is particularly interested in applications investigating the impacts of energy transitions on human health. The desirable skills and experience for such an applicant include (one or more of the following): epidemiological methods; data management and analysis of large data sets; environmental exposure assessment; high level statistical and GIS skills and working with multi-disciplinary teams
Closing date: 4th May 2018