Internship positionsI do not offer these.PhD positionsThe group has openings for students who want to study for a PhD. My research area You can get a good idea about my current research interests by looking at the group's webpage and especially recent publications. Most of my current research focusses on machine learning, especially fundamental theoretical and algorithmic contributions. This includes Deep Bayesian learning, k-shot and transfer learning, deep learning for small data, learning using simulators (e.g. approximate Bayesian computation), Gaussian processes and new forms of approximate inference including online inference. On the neuroscience / cognitive science / signal processing side I do remain actively involved in: 1. Bayesian inference as models of perception and cognition 2. Machine learning methods for neuroscience 3. The intersection between inference and signal processing Candidate Background The background that I look for is typically one of the following: engineering (esp. information engineering / electrical engineering), physics (esp. theoretical / statistical physics), maths (statistics), computer science. Strong continuous maths skills are essential. Except in very special cases, you will need to have a first class degree or equivalent and typically successful applicants were at or near the top of their cohort. Some practical experience with machine learning is strongly desired either through a research project, coursework or in industry. If you want to find out more about the core technical material that is relevant to the Group's reseach, please see the Group's recommended reading list. For more information about our PhD programme see here.Postdoctoral positionsWe do not have any specific openings for Postdoctoral Research Fellows presently, but we are happy to help and support exceptional candidates apply for fellowships. Possible sources of personal funding with approximate deadlines (these vary from year-to-year) are below. Each has a variety of eligibility requirements.
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