Postdoctoral Research Assistant in Applied Machine Learning, University of Oxford

We are seeking a full-time Postdoctoral Research Assistant in Scalable Probabilistic Data Analytics to join the Machine Learning research group at the Department of Engineering Science, central Oxford. The post is funded by the Oxford-Emirates Data Science Lab and is fixed-term for 2 years.
You will engage in internationally leading research in analysis of complex, dynamic data at scale; you will bring state of the art machine learning to the heart of industrial scale data analytics. You will be responsible for research into efficient machine learning, particularly for unstructured data. Online anomaly, changepoint and bias detection. Structure learning for high-dimensional time-series data, including networks and understanding dynamic, complex data and networks.
You should possess a good first degree in engineering, mathematics/statistics, computer science or equivalent and have (or about to complete) a PhD in a relevant area. Experience in Bayesian inference and machine learning as well as previous experience with the practical implementation of Bayesian models on real-world data and experience in computer programming. You should have a track record of published work concomitant with experience and the ability to work well independently and as part of a team, as well as to possess interpersonal skills necessary to contribute effectively to a collaborative project.
You will be required to upload a covering letter/supporting statement, including a brief statement of research interests (describing how past experience and future plans fit with the advertised position), CV and the details of two referees as part of your online application.
Only applications received before 12.00 midday on 24 July 2017 can be considered.
For more information, and to apply, see
http://www.eng.ox.ac.uk/jobs/current-vacancies/vac...