Job Advertisement: Closing Date 1st February 2015
Two vacancies are available for postdoctoral researchers to join MSSL UCL.
These positions are focused on the development of *novel sparse and
statistical informatics techniques*, and corresponding *fast algorithms for
high-performance computing*, for application to data from *SKA*, *Planck*
and *Euclid* (see descriptions of posts below).
Further information is available at:
http://www.jasonmcewen.org/opportunities.html
In addition, applications for PhD positions at MSSL to begin in September
2015 are also open. Further information regarding potential PhD projects
is available at: http://www.ucl.ac.uk/mssl/astro/phd
*Research Associate in Inverse Problems*
We are seeking an excellent postdoctoral researcher in physics,
mathematics, electrical engineering or computer science to develop novel
approaches to solve inverse problems in the context of big-data. In
particular, these approaches will be used to image the data acquired by
radio interferometric telescopes, such as the forthcoming Square Kilometre
Array (SKA). The SKA promises exquisite radio observations of unprecedented
resolution and sensitivity, supporting a diverse range of science, from the
search for extra-terrestrial life to testing Einstein's theory of general
relativity, to uncovering the mysteries of the dawn of the first galaxies
in the Universe. However, the SKA poses tremendous big-data challenges that
must first be overcome. Inverse problems will be solved in the context of
the recent revolutionary theory of compressed sensing, using sparse
regularisation techniques and leveraging advanced convex optimisation
algorithms, while exploiting high-performance computing architectures.
For further information and to apply see:
http://www.ucl.ac.uk/mssl/jobs/mssl-jobs/bdsc-pdra
<http://www.ucl.ac.uk/mssl/jobs/mssl-jobs/bdsc-pdra>
*Research Associate in Information Engineering*
We are seeking an excellent postdoctoral researcher in physics,
mathematics, electrical engineering or computer science to develop novel
information theoretic techniques (e.g., sparse and statistical signal
processing, applied computational mathematics), motivated by their use for
extracting scientific information from observational data. Signals defined
on the sphere are prevalent in a diverse range of fields, including
cosmology, geophysics, acoustics, and computer graphics, for example. In
cosmology, observations made by the ESA Planck and Euclid satellites live
on the celestial sphere, leading to very large and precise spherical
data-sets, the robust analysis of which can reveal a great deal about the
nature of our Universe. The project will initially focus on the analysis of
signals defined on the sphere, such as those obtained by Planck and Euclid,
but can be extended to incorporate the interests and expertise of the
successful applicant.
For further information and to apply see:
http://www.ucl.ac.uk/mssl/jobs/mssl-jobs/saos-pdra
----------------------------------------------------------------------------------
The Royal Astronomical Society Job List is provided free-of-charge through the JISC Mail Service. Although every effort is made to ensure accuracy, the RAS cannot accept responsibility for the accuracy or validity, either directly or by implication, of job advertisements or other information posted to this list. For more information about the Royal Astronomical Society visit the website at www.ras.org.uk.
Royal Astronomical Society, Burlington House, Piccadilly, London W1J 0BQ, UK, tel. +44 (0)20 7734 3308, fax. +44 (0)20 7494 0166, www.ras.org.uk
|