Detecting anomalies from electromagnetic data sequences recorded by the SWARM satellite and the CSELF network is aimed at discovering abnormal change points within the data sequences. These change points will be formulated to be normal and abnormal changes, which could be in turn referred to as seismic anomalies. The proposed research will focus on developing change detection algorithms based on big data analytics through identifying change points and comparing two distributions: one estimated from the recorded data sequences and another from dynamic streams. The algorithms will integrate three main functional components: 1) identifying change points in data streams using wavelet and martingales; 2) annotating change points with a set of features; and estimating probability distribution with non-parameter approaches. The algorithms will be employed to analyse electromagnetic data obtained from space and torrential data sources with a focus on investigating the correlation between abnormal changes and earthquake events, the analysis results will be used to design an intelligent system for earthquake study.
Candidates should have a nationality of an ESA member state (i.e. Austria, Belgium, Czech Republic, Denmark, Finland, France, Germany, Greece, Ireland, Italy, Luxembourg, The Netherlands, Norway, Poland, Portugal, Romania, Spain, Sweden, Switzerland, the United Kingdom and Canada) or an European Cooperating State (i.e. Latvia, Slovenia Estonia and Hungary) to be eligible for both fees and maintenance. All applicants should hold an MSc degree, or first/upper second class honours degree in Computing Science, Geophysics, Electronic Engineering, Earth Observation, Geographic Information System or a cognate area. Applications will be considered on a competitive basis with regard to the candidate’s qualifications, skills experience and interests. Successful candidates will enrol as soon as possible on a full-time programme of research studies leading to the award of the degree of Doctor of Philosophy.
The studentship will comprise fees together with an annual stipend of £13,726 and will be awarded for a period of up to three years subject to satisfactory progress.
For further information on the application process please visit our website: http://study.ulster.ac.uk/postgraduate/applying.php
Apply online www.ulster.ac.uk/applyonline and all supplementary documents uploaded onto the System
The closing date for applications is 7th March 2014.
Interviews will form part of the selection process and are likely to be held before April 2014.
Project details click here
For further information on the project please contact Dr Yaxin Bi (email@example.com).