PhD Studentship: Multi-Sensor Data Fusion and Analysis

Loughborough University

Start date: January 2017

Supervisors: Primary supervisor: Dr Peter Kinnell

The EPSRC National Centre for Innovative Manufacturing in Intelligent Automation is a collaboration between Loughborough and Cranfield Universities and industrial partners Rolls-Royce, Airbus, Control and Data Services and the Manufacturing Technology Centre (MTC). The EPSRC Centre has a physical presence at both Universities allowing joint access to state of the art facilities and rapid transfer of knowledge between researchers and industrial partners via the MTC and the Cranfield exploitation network.                                                          

Project Detail:
The PhD project is about the application of multi-sensors, including non-destructive testing (NDT) technologies, to create next generation automated visual inspection systems. Such systems are aimed at working in collaboration with human inspectors, to enhance their capability, decreasing inspection time, increasing detection rates and finding things that people just can’t see. The work focuses on acquisition and analysis of 2D/3D signals from multiple sensors, including laser scanners, RGB cameras, IR and Ultrasound sensors. Fusion of these data sources makes it possible to characterize and quantify both surface and subsurface variations and obtain a comprehensive map of features, required for accurate inspection process. A wide range of data analysis strategies including (but not limited to) pattern recognition (e.g. feature extraction and feature selection), Machine learning (clustering and classification), statistical and mathematical modelling, 3D geometrical analysis and optimization methods are required. The overall aim is to demonstrate a multi-sensor NDT system that can operate over a wide range of surface finishes, detect micrometre sized features, and robustly decide how to classify the features.

The candidate will be based at Loughborough University’s Wolfson School of Mechanical & Electrical and Manufacturing Engineering.

Entry requirements:
The candidates must be expecting, or have obtained a first class honours or good upper second class degree in Mechanical or Manufacturing Engineering or other relevant subject. Good communication and computational skills are essential and an interest in, and basic understanding of sensing technologies and data analysis techniques is desirable.

Funding information:
The studentship is for three years and provides a tax-free stipend of £14,296 per annum plus tuition fees at the UK/EU rate. Due to funding restrictions, this is only available to those who are eligible to pay UK/EU fees. In order to qualify for a full award, all applicants must meet the EPSRC eligibility criteria including the minimum UK residency requirement https://www.epsrc.ac.uk/skills/students/help/eligibility/.   

Contact details:
Informal enquires about the research project should be addressed to Dr Peter Kinnell, email: P.Kinnell@lboro.ac.uk.  

How to apply:
All applications should be made online at http://www.lboro.ac.uk/study/apply/research/. A list of the required documentation can be found here.

In the Research Information Section, please state the student reference: “PK041116”. In the Finance Section, please state that you are applying for "IA-CIM studentship with Dr Peter Kinnell”.

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Type / Role:

PhD

Location(s):

Midlands of England