Research Associate in Physical Oceanography
- One of Australia’s leading research & teaching universities
- Vibrant campus life with a strong sense of community & inclusion
- Enjoy a career that makes a difference by collaborating & learning from the best
At UNSW, we pride ourselves on being a workplace where the best people come to do their best work.
The UNSW Climate Change Research Centre is a multi-disciplinary research centre comprising one of the largest university research facilities of its kind in Australia. CCRC houses research expertise in the key areas of Earth's climate: namely atmospheric, oceanic and terrestrial processes. We employ advanced scientific methods, models and analysis tools to address pressing questions relating to climate dynamics, oceanic and atmospheric processes, climate change, and climate variability.
About the role
- A$91K - A$98K per year (depending on experience) plus 17% employer superannuation and leave loading
- 3 years Fixed Term
- This position is offered flexibly, either full time or part time.
We seek an outstanding Postdoctoral Research Associate to address the challenge of improving projections of ocean heat content increase and the associated global and regional sea level change. The successful candidate will work on the detection and attribution of changes in ocean temperatures and salinity using historical observations and the latest generation of global coupled atmosphere ocean climate models. The analysis will aim to quantify the underlying mechanisms controlling the distribution of ocean temperature and salinity change.
About the successful applicant
To be successful in this role you will have:
- PhD or equivalent qualification in physical oceanography, physical climate science, or ocean or climate modelling
- Strong research and publication track record (relative to career opportunity) in physical oceanography, large-scale ocean-atmosphere dynamics or global climate modeling and model development
- Experience in running ocean or climate models and analysing ocean dynamical processes
- Expertise in the analysis and interpretation of observational data sets and/or model output
- Excellent oral and written communication skills
- Demonstrated programming skills in a Unix/Linux environment (e.g. Fortran, shell scripts, NCL, R, Matlab)
Please refer to the position description for the full selection criteria. You should systematically address the selection criteria listed within the position description in your application. Please apply online - applications will not be accepted if sent directly to the contact listed.
You may be required to undergo pre-employment checks prior to appointment to this role.
Professor John Church
T: (61) 419 325 207
Applications close: 25 March 2018