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).
I would be grateful if you could bring these positions to the attention of potential candidates. The deadline for applications is 1 Feb 2015. 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
Thanks in advance for your help.
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
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
Research vacancies at MSSL UCL
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