[Statlist] Research Fellow in Statistical Inference for Astronomical Data

Aldeida Aleti @|de|d@@@|et| @end|ng |rom mon@@h@edu
Fri Jun 10 10:27:40 CEST 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 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 and approximately 3500
academic staff spread across its Australian and off-shore campuses. 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 Astrophysics. The immediate  supervisors will
be Professor John Lattanzio (MoCA), Associate Professor David Dowe (FIT)
and Dr Aldeida Aleti (FIT).

Salary will be in the range $86,209 - $92,541 (which includes a 9.5%
employer contribution to superannuation).

Monash University is based in Melbourne, named the World's most liveable
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.

Applications due by 1 August 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

-- 
users.monash.edu.au/~aldeidaa
Phone: +61 3 990 34688
Address: Faculty of Information Technology, Monash University
900 Dandenong Rd, Caulfield East, VIC, 3145, Australia.

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