We seek to fill a 2.5 year post-doctoral fellowship dedicated to extensions and applications of the Minimum Message Length (MML) technique to the analysis of spectroscopic data from recent large surveys, such as GALAH. The position is based jointly within the Monash Centre for Astrophysics (MoCA, in the School of Physics and Astronomy) and the Faculty of Information Technology (FIT).
The successful applicant will develop and extend the MML method as needed, applying it to spectroscopic data from the GALAH project, with an aim to understanding nucleosynthesis in stars as well as the formation and evolution of our Galaxy ("galactic archaeology").
The position is based at the main campus of Monash University which hosts approximately 56,000 equivalent full-time students spread across its Australian and off-shore campuses, and approximately 3500 academic staff. Monash is committed to growing its already established excellence in astrophysics as well as machine learning and statistical inference. The successful applicant will work with world experts in both the Bayesian information-theoretic MML method as well as nuclear astrophyics. The immediate supervisors will be Professor John Lattanzio (MoCA), Associate Professor David Dowe (FIT) and Dr Aldeida Aleti (FIT).
Monash University is based in Melbourne, named the World's most livable city in each of the last 5 years. It is a highly multi-cultural cosmopolitan city providing extensive cultural and lifestyle opportunities, is situated on the coast with excellent beaches readily accessible, many fine restaurants and world-leading vineyards are less than 60 minutes away.
Salary will be in the range AUD86,209 to AUD92,541, which includes a 9.5% contribution to superannuation from the University. There will be annual salary increments for acceptable performance.
Applications are due by 1 August 2016 and must be submited online via the Monash University website. Position Number 549250. URL given above.