Connectionists: JOB: Postdoctoral Fellow in Statistical Inference for Astronomical Data, Monash University

[David Dowe]

Dear Connectionists, 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 Machine Learning,
<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>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 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, data science and statistical inference.  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 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) [including, e.g., dealing with a
Neyman-Scott-like problem for panel data] is in Dowe (2011a)
<http://www.csse.monash.edu.au/%7Edld/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.
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