||Fixed term, full-time appointment (three years)
| The Centre for Environmental Informatics (CEI) in the School of Mathematics and Applied Statistics conducts world-leading research in high-level statistical methodology and statistical computing and their application to the environmental sciences.
The postdoctoral Research Fellow will work in the centre with Prof Noel Cressie, Dr Andrew Zammit Mangion, and environmental scientists on the recently awarded Australian Research Council (ARC) grant, “Bayesian inversion and computation applied to atmospheric flux fields.” The project aims to make use of unprecedented sources of measurements, from remote sensing and in situ data, to estimate the sources and sinks of greenhouse gases. This will be solved in the context of Bayesian spatio-temporal inversion and big-data computational strategies.
The requirements for this position are:
- PhD degree in Statistics/Statistical Science
- Strong programming skills in R, Python, or MATLAB
- Demonstrated expertise in Bayesian methods and computation
- Ability to work effectively in a multi-disciplinary team on the main UOW campus in Wollongong
The University is committed to workforce diversity and removing barriers to participation. The University is seeking to increase the representation of women in the academic workforce across science, technology, engineering, mathematics and medical (STEMM) disciplines and encourages suitably qualified candidates to apply.
You will be prompted to respond to the selection criteria as part of the online application process, based on the position description below. You will be able to save your application at any time and submit at a later date if required; you will only be able to do this before the closing date of the position.
For further information about this position, please contact Distinguished Professor Noel Cressie on + 61 2 42215076 or at firstname.lastname@example.org
Note: Applications submitted via email will not be considered. All applications must be submitted online via the UOW job portal. For further information please contact email@example.com