Research Fellow in NDT and Machine Learning - Bedfordshire, United Kingdom - Cranfield University

Description

Fixed Term Contract for 24 Months

Full time starting salary normally £37,337 per annum to £41,406 per annum

Location: Cranfield, Bedfordshire

Cranfield University School of Aerospace Transport and Manufacturing and the IVHM Centre welcomes applications from engineers - scientists with expertise in computer engineering and/or programming and/or algorithm deployment within the aviation sector covering intelligent sensing and acquisition and knowledge of data communication and data management of aircraft systems health management.

About the Role

The purpose of this post is to support and deliver to a collaborative research funded project. You will be responsible for undertaking high quality research associated with Cranfield University, working towards the delivery of an adequate and complete diagnostics system (via NDT and SHM approaches), through the development and application of a digitalized Health Management Architecture – Platform for aircraft (machine learning based algorithms could be employed to process the data provided by such approaches). You will also be responsible for managing the research tasks, organising project meetings, writing project deliverables and coordinating research activities and will need excellent interpersonal skills.

About You

You will be educated to doctoral level in an aerospace / mechanical / electrical / computer engineering subject. Experience on analysis and processing of signals or images and non-destructive testing (NDT) imaging of structures is required for the post. Knowledge of machine learning based classifiers, image acquisition and analysis and classification of data is also essential for the post. Expertise in algorithm deployment for automated diagnostics and machine vision for aircraft structures would be an advantage. You will be confident in communicating with external partners professionally and skilled in project management and report writing.

About Us

As a specialist postgraduate university, Cranfield's world-class expertise, large-scale facilities and unrivalled industry partnerships are creating leaders in technology and management globally. Learn more about Cranfield and our unique impact here.

The Integrated Vehicle Health Management (IVHM) Centre is a joint effort by Industry and Academia to develop state of the art diagnostic and prognostic capabilities that change the way services are provided today. The IVHM Centre was launched by Cranfield University, Britain's premier postgraduate, research intensive university together with Boeing, Rolls Royce, BAE Systems, Meggitt and Thales in 2008. It is located at Cranfield University's Cranfield site. The Centre is now globally recognized, having defined the subject area and further developing new areas of expansion. The development of the Centre, along with other areas in the University, significantly contributed to the recent DARTeC (Digital Aviation Research and Technology Centre) proposal success. Through DARTeC, the IVHM Centre is leading the MRO (Maintenance, Repair and Overhaul) developments and activities with expertise and capabilities in UAV-Robotics Non-Destructive Testing (NDT) inspections, sensor monitoring, and advanced digital technologies such as Artificial Intelligence (AI) and Digital Twins (DT), tools that could be used to synchronize, monitor, and improve all processes related to Aircraft MRO.

How to apply

For an informal discussion, please contact Professor Nico Avdelidis, Professor and Head of Integrated Vehicle Health Management Centre on or Dr Henrique Fernandes, Senior Lecturer in Automated Non-Destructive Testing (NDT) & Structural Health Monitoring (SHM) for Predictive Maintenance

Apply online via the above 'Apply' button. Please do not hesitate to contact us for further details on E: Please quote reference number 4801.

Closing date for receipt of applications: 28 April 2024