We are advertising a four year PhD interdisciplinary studentship in the Department of Physics and Astronomy and the Center for Computational Statistics and Machine Learning (CSML) at University College London (UCL), to start October 2010.
The successful applicant will work in the area of gravitational cosmic shear, with an emphasis on new interdisciplinary approaches to the measurement of gravitational shear from images (e.g. GREAT08, GREAT10 and beyond) in collaboration with computer scientists, including UCL’s Center for Computational Statistics and Machine Learning (CSML) directed by Prof. John Shawe-Taylor. A background in gravitational lensing is not essential but candidates should have studied cosmology, computer science and/or statistical analysis. This is part of the five year Capitalising on Gravitational Shear (COGS) programme funded by the European Research Council (ERC), for which we are also in the process of appointing two postdoctoral positions. There is potential to apply the techniques developed to data including that from the Dark Energy Survey (DES) and simulations for the proposed Euclid ESA satellite.
Informal enquiries can be made to Dr Sarah Bridle (sarah(at)star.ucl.ac.uk), Prof. John Shawe-Taylor (jst(at)cs.ucl.ac.uk), Prof. Ofer Lahav (lahav(at)star.ucl.ac.uk) or Dr Fililpe Abdalla (fba(at)star.ucl.ac.uk).