Jason just sent me the following:

Hi Igor,

I just wanted to let you know about some vacancies for postdoctoral researchers and PhD students at UCL.

Would you consider posting on Nuit Blanche if you think it suitable?

Details follow...

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

Best wishes for the holiday period!

Best,

Jason

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www.jasonmcewen.org

No problem Jason

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[Mark Green's] favorite moment of the program came when the NSF panel – which was simultaneously conducting its first site visit – asked: Is this interdisciplinary work? Participant David Donoho (statistics, Stanford), another major contributor to the genesis of compressed sensing, reportedly exclaimed, “You’ve got Terry Tao talking to geoscientists, what do you want?”