Dear INDUCTIVE list, please find the job ad below to be distributed far and wide.
RESEARCH FELLOW <http://www.jobs-monash.jxt.net.au/academic-jobs/research-fellow-in-statistics-and-astrophysics/706686>: in Statistics and Machine Learning for Astrophysics, Monash University, Australia, deadline 31 July. http://www.jobs-monash.jxt.net.au/academic-jobs/research-fellow-in-statistics-and-astrophysics/706686 (deadline 31/July/2016) *Postdoc available* (Postdoctoral Fellowship job available, *deadline: 31 July 2016*) : Research Fellow in <http://www.jobs-monash.jxt.net.au/academic-jobs/research-fellow-in-statistics-and-astrophysics/706686> Statistics, <http://www.jobs-monash.jxt.net.au/academic-jobs/research-fellow-in-statistics-and-astrophysics/706686>Machine Learning, <http://www.jobs-monash.jxt.net.au/academic-jobs/research-fellow-in-statistics-and-astrophysics/706686>Mixture Modelling, Latent Factor Analysis and Astrophysics <http://www.jobs-monash.jxt.net.au/academic-jobs/research-fellow-in-statistics-and-astrophysics/706686> (deadline 31/July/2016) We seek to fill a 2.5 year post-doctoral fellowship dedicated to extensions and applications of the Bayesian Minimum Message Length (MML) technique to the analysis of spectroscopic data from recent large astronomical surveys, such as GALAH (GALactic Archaeology with HERMES). 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 Clayton campus (in suburban Melbourne, Australia) 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, statistical inference and data science. MML research at Monash University dates back to the original seminal Wallace and Boulton (1968), ``An information measure for classification'', Computer J. The successful applicant will work with world experts in both the Bayesian information-theoretic MML method as well as nuclear astrophysics. The immediate supervisors will be Professor John Lattanzio (MoCA), Associate Professor David Dowe (FIT) and Dr Aldeida Aleti (FIT). A popular paper relating MML inductive inference to Solomonoff-Kolmogorov complexity and algorithmic information theory (AIT) is Wallace and Dowe (1999a), ``Minimum Message Length <http://www.csse.monash.edu.au/~dld/David.Dowe.publications.html/#WallaceDowe1999a> and <http://www.csse.monash.edu.au/~dld/David.Dowe.publications.html/#WallaceDowe1999a> Kolmogorov Complexity <http://www.csse.monash.edu.au/~dld/David.Dowe.publications.html/#WallaceDowe1999a>'', Computer J, special issue on Kolmogorov complexity <http://comjnl.oxfordjournals.org/content/42/4.toc>. Further reading on MML in the 2011 Elsevier Handbook of the Philosophy of Science (Vol. 7, Philosophy of Statistics) is here <http://www.csse.monash.edu.au/~dld/David.Dowe.publications.html/#Dowe2011a> . Monash University is based in Melbourne, named the world's most livable city in each of the last 5 years. Melbourne 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, etc. Salary will be in the range AUD86,209 to AUD92,541, which includes a 9.5% contribution to superannuation from the University. Further information at http://www.jobs-monash.jxt.net.au/benefits . *Applications due by 31 July 2016* Further Information: Position Description: http://www.jobs-monash.jxt.net.au/academic-jobs/research-fellow-in-statistics-and-astrophysics/706686 Monash University: http://www.monash.edu Monash Centre for Astrophysics http://moca.monash.edu/ School of Physics and Astronomy: http://www.monash.edu/science/schools/physics Faculty of Information Technology: http://www.infotech.monash.edu.au/ Minimum Message Length: http://www.csse.monash.edu.au/~dld/CSWallacePublications/#Wallace2005 City of Melbourne: http://www.melbourne.vic.gov.au/Pages/Home.aspx http://www.thatsmelbourne.com.au Cheers and best, David Dowe.
