A Canadian research network on climate downscaling has provided funding for a Ph.D./M.Sc. student in the Dept. of Earth and Ocean Sciences, at the Univ. of British Columbia. Research would involve using machine learning/statistical methods (e.g. neural networks, kernel methods) to downscale the coarse-resolution global climate/weather model outputs to finer, local scales. Applications include precipitation and extreme weather forecasts, and climate change scenarios. Please apply online at
Prof. William Hsieh, E-mail: whsieh at eos.ubc.ca, website:
http://www.ocgy.ubc.ca/~william/index.html