This opportunity is now closed.

Funded PhD Opportunity

Detecting Anomalies from Satellite and Terrestrial Data Sources by Data Analytics

This project is funded by: European Space Agency

Subject: Computer Science and Informatics


Summary

Detecting anomalies from data sequences obtained from the space and the torrential data sources available is to require discovering change points within the data sequences. These change points will be formulated to be normal and abnormal changes, which are in turn referred to as anomalies. In our previous studies, three methods  -wavelet, statistical martingales and fuzzy-inspired - have been explored, and the respective algorithms have been developed. These results will underpin a new strategy of detecting change points within data sequences and further development of new detection algorithms.

This project aims to develop more sophisticated change detection analytics by identifying change points and comparing two distributions: one estimated from the recorded data sequences and another from dynamic streams. This development may also involve application of the current state of arts deep learning technology. The algorithms developed will be employed to analyse electromagnetic data recorded by the Swarm satellites, China Seismo Electromagnetic Satellite (CSES), CSELF network, etc., with a focus on investigating the correlation between abnormal changes and natural hazards, such as earthquakes. The analysis results will be used to develop an intelligent system for risk assessment of natural hazards and forecast.

Anticipated research outcomes are the following:

1. State of the art change recognition algorithms that can be used to detect changes from electromagnetic data observed from both satellites and ground-based networks

2. Establishment of predictive models that can be used to discover and interpret the relation between the anomalies and natural hazards (earthquakes) over electromagnetic data.

3. Publications in journals and international conferences


Essential criteria

  • To hold, or expect to achieve by 15 August, an Upper Second Class Honours (2:1) Degree or equivalent from a UK institution (or overseas award deemed to be equivalent via UK NARIC) in a related or cognate field.

Desirable Criteria

If the University receives a large number of applicants for the project, the following desirable criteria may be applied to shortlist applicants for interview.

  • Masters at 70%

Funding

This project is funded by: European Space Agency

This scholarship will cover tuition fees at the home/EU rate and a maintenance allowance of £14,777 per annum for three years.


Other information


The Doctoral College at Ulster University


Reviews

Profile picture of Adrian Johnston

As Senior Engineering Manager of Analytics at Seagate Technology I utilise the learning from my PhD ever day

Adrian Johnston - PhD in Informatics

Watch Video  

Key dates

Submission deadline
Wednesday 31 October 2018

Interview Date
14 November 2018


Applying

Apply Online  


Contact supervisor

Dr Yaxin Bi


Other supervisors

Related Funded Opportunities

Context aware Brain Computer Interfaces and Internet of Things (IoT)

Closing date:
Friday 7 February 2020
Subject: Computer Science and Informatics

 View details

Autonomous Object Recognition for Robots

Closing date:
Friday 7 February 2020
Subject: Computer Science and Informatics|Computer Science and Informatics

 View details

Neural Data Science, Computational Neuromodulation, and Metalearning

Closing date:
Friday 7 February 2020
Subject: Computer Science and Informatics|Computer Science and Informatics

 View details

Augmented Reality Brain-computer Interface

Closing date:
Friday 7 February 2020
Subject: Computer Science and Informatics|Computer Science and Informatics

 View details

Gaining a better understanding of our Planet through Deep Learning-based Data Analytics

Closing date:
Friday 7 February 2020
Subject: Computer Science and Informatics

 View details

Data Analytic Technologies to Combat Human Trafficking

Closing date:
Friday 7 February 2020
Subject: Computer Science and Informatics

 View details

Adaptive Learning for Modelling Non-stationary Dynamical Systems

Closing date:
Friday 7 February 2020
Subject: Computer Science and Informatics|Computer Science and Informatics

 View details

Computational and Mathematical Modelling of Predator-Prey Systems

Closing date:
Friday 7 February 2020
Subject: Computer Science and Informatics

 View details

Applying Natural Language Processing to the automated fact checking of legal documents

Closing date:
Friday 7 February 2020
Subject: Computer Science and Informatics|Computer Science and Informatics

 View details

Computing

Subject: Computer Science and Informatics

 View details

Deep-learning assisted tele-medicine for the delivery of diabetic retinopathy screening in low- and middle-income countries

Closing date:
Friday 7 February 2020
Subject: Computer Science and Informatics|Computer Science and Informatics

 View details

The impact of the analytical performance of laboratory tests on clinical decision making

Closing date:
Friday 7 February 2020
Subject: Computer Science and Informatics|Computer Science and Informatics

 View details

Intelligent Systems

Subject: Computer Science and Informatics

 View details

Sensing human emotion within pervasive environments

Closing date:
Friday 7 February 2020
Subject: Computer Science and Informatics

 View details

Magic Hands: Non-invasive hand tracking for virtual reality and game based stroke rehabilitation.

Closing date:
Friday 7 February 2020
Subject: Computer Science and Informatics|Computer Science and Informatics

 View details

Intelligent Mobility Aids to Promote Physical Activity in Children with Cerebral Palsy

Closing date:
Friday 7 February 2020
Subject: Computer Science and Informatics|Nursing and Health

 View details

Network Machine Learning Approach to Financial Crime Detection

Closing date:
Friday 7 February 2020
Subject: Computer Science and Informatics

 View details

Trusting the uncertainty in machine learning predictions

Closing date:
Friday 7 February 2020
Subject: Computer Science and Informatics

 View details

Mapping the Brain with Zero Knowledge using advanced AI and Data Analytics

Closing date:
Friday 7 February 2020
Subject: Computer Science and Informatics|Computer Science and Informatics

 View details

Neuro Sense: serious games for in-situ autism assessment

Closing date:
Friday 7 February 2020
Subject: Computer Science and Informatics

 View details

Exploiting Brain Inspired Information Processing in Hardware to Develop Highly Reliable, Always-on Smart Sensor Systems.

Closing date:
Friday 7 February 2020
Subject: Computer Science and Informatics|Computer Science and Informatics

 View details

Autonomous Decision Analytics by Integrating Machine Learning and Symbolic Reasoning

Closing date:
Friday 7 February 2020
Subject: Computer Science and Informatics

 View details

An Approach for Constructing and Sharing Open Data Sets in Experimental Pervasive Computing

Closing date:
Friday 7 February 2020
Subject: Computer Science and Informatics

 View details

RECASE: Robot-Enabled Care system in Smart Environments

Closing date:
Friday 7 February 2020
Subject: Computer Science and Informatics

 View details

Sensing and Modelling Air Quality for Healthy Living (SMAQ)

Closing date:
Friday 7 February 2020
Subject: Computer Science and Informatics

 View details

Chatbots for decision support and reporting in healthcare

Closing date:
Friday 7 February 2020
Subject: Computer Science and Informatics

 View details

PostCrypt: Data Security for the future

Closing date:
Friday 7 February 2020
Subject: Computer Science and Informatics

 View details

Enhanced Augmented Reality with Data Engineering and AI for Smart Digital Education

Closing date:
Friday 7 February 2020
Subject: Computer Science and Informatics|Education

 View details

AI-enabled Automated Behaviour Analysis for User-centric Systems

Closing date:
Friday 7 February 2020
Subject: Computer Science and Informatics

 View details

Quantitatively assessment of limb motion utilising wearable sensors in remote rehabilitation

Closing date:
Friday 7 February 2020
Subject: Computer Science and Informatics

 View details

Towards Trusted Cognitive Intelligence for User-centric Smart Systems

Closing date:
Friday 7 February 2020
Subject: Computer Science and Informatics

 View details