Fully Funded Deep Learning PhD Positions with Insight at UCD

The Machine Learning team at Insight in University College Dublin, Ireland is hiring three funded PhD students, commencing in 2016-2017 and fully funded for 4 years, for a project working on deep learning techniques for novelty detection in high-volume, high-velocity data streams. Work on the project will be split into three streams: (1) novelty detection methods based on deep recurrent neural networks, (2) human-in-the-loop methods for novelty detection using deep learning ,and (3) novelty detection methods based on deep recurrent neural networks that take into account temporal effects such as seasonality and satiation. We are seeking candidates for three PhD positions available on this project, with each one aligned to one of these three streams.
Applicants should have a strong undergraduate or Masters degree in computer science, statistics or a relevant discipline. Ideally applicants will be able to demonstrate an interest in theoretical work in machine learning, together with good software engineering skills. Some previous experience working predictive modelling, time series data, data visualisation, or deep learning is desirable.
Full details are available at: https://www.insight-centre.org/content/phd-insight...