Reference number: CO/GC-CDT/2020
Start date of studentship: 1 January 2020
Closing date of advert: 21 October 2019
Interview date: To be arranged
Primary supervisor: Dr Georgina Cosma
Secondary supervisor: To be confirmed
Loughborough University is a top-10 UK university, consistently ranked by the Guardian and other league tables. Founded in 1974, the Department of Computer has been ranked 4th in the UK for Computer Science and Information Systems (Guardian University Guide 2018) and has an excellent research track record in A.I, machine learning, data science, deep learning, robotics and computer vision.
Full Project Detail
Carrying out inspections in hard to reach places is time consuming and poses safety hazards to workers. Drones can help carry out automatic inspections faster than manual inspections by gathering data which can be automatically analysed for decision making.
The aim of this project is to create Deep Learning inspection models which can detect and classify a variety of defects in objects found in high-definition images captured by drones or by other means.
This project involves the development of custom deep learning and other algorithms for detection, analysis, classification and evaluation of defects on surfaces. The project has been defined by a company which will provide data and access to facilities for testing the deep learning models.
Experience in image processing, computer vision, and experience in implementing Deep Learning algorithms for object detection and segmentation are essential. In addition, experience in computer vision imaging-based automatic inspection and a background in engineering are highly desirable.
The ideal student will be a fast learner, self-driven, hard-working, keen to embrace the project, deliver it successfully, and should be comfortable working with deadlines. The student should be a strong programmer (using the Python programming language), have experience working with large data and be able to analyse and interpret results from experiments.
The PhD student will be based at the Department of Computer Science at Loughborough University. The student will be supervised by Dr Cosma who has experience in data science and A.I, and by industry supervisors with expertise in inspections, modelling and analysis. The student will closely work with other software engineers, and inspection experts in the project team. The student will have access to a range of training, research support and computing facilities including HPC, and high-spec machines suitable for deep learning and machine vision tasks.
Find out more:
Dr Georgina Cosma
Email: [email protected]
Applicants should have, or expect to achieve, at least a 2:1 Honours degree (or equivalent) in Computer Science or a Computer Science subject. A relevant Master’s degree and/or experience in one or more of the following subjects will be an advantage: Deep Learning, Artificial Intelligence, Data Science, and Machine Vision.
Name: Dr Georgina Cosma
Email address: [email protected]
How to apply
Applications should be made online at http://www.lboro.ac.uk/study/apply/research/
. Under programme name, select Computer Science.
Please quote reference number: CO/GC-CDT/2020.