This is a three-year postdoctoral position focused on using data assimilation methods to improve the simulation of weather and climate extremes. The position is part of a major national initiative – the ARC Centre of Excellence for Climate Extremes – and embedded within the School of Earth Sciences at The University of Melbourne.

We seek a highly qualified and motivated individual to create new and innovative data assimilation algorithms for discovering model trajectories that closely track observations in the presence of multi-scale, non-linear and non-Gaussian uncertainties such as those associated with observations and forecasts of clouds, precipitation, aerosols, soil moisture, ice, or ocean colour.

You will have research experience with one or more data assimilation algorithms such as 4DVar, the Ensemble Kalman Filter, the Particle Filter or the Monte Carlo Markov Chain. Expertise in any of these areas and/or in advanced methods for deriving the gradient of model forecasts of observations with respect to model initial conditions and/or parameters will increase a candidate’s chances of being selected for this position.

Candidates seeking flexible or part-time work arrangements are encouraged to apply.

Salary: $68,148 – $93,830 p.a (PhD entry level $87,415) pro rata for part-time) plus 9.5% superannuation.

Applications close: Thursday, September 13.

Full details here.