Research Fellow in NDT and Machine Learning

6 Apr 2024
Job Information

Organisation/Company

CRANFIELD UNIVERSITY

Research Field

Engineering
Engineering
Engineering

Researcher Profile

Recognised Researcher (R2)
First Stage Researcher (R1)
Established Researcher (R3)

Country

United Kingdom

Application Deadline

28 Apr 2024 - 00:00 (UTC)

Type of Contract

Other

Job Status

Full-time

Is the job funded through the EU Research Framework Programme?

Not funded by an EU programme

Is the Job related to staff position within a Research Infrastructure?

No

Offer Description

School/Department: School of Aerospace, Transport and Manufacturing
Based at: Cranfield Campus, Cranfield, Bedfordshire
Hours of work: 37
Contract type: Fixed term contract
Fixed Term Period: for 24 Months
Salary: Full time starting salary normally £37,337 per annum to £41,406 per annum
Apply by: 28/04/2024

Role Description

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.

For further information please visit:

https://www.cranfield.ac.uk/centres/integrated-vehicle-health-management

Our Values and Commitments

Our shared, stated values help to define who we are and underpin everything we do: Ambition; Impact; Respect; and Community. Find out more here .

We aim to create and maintain a culture in which everyone can work and study together and realise their full potential. We are a Disability Confident Employer and proud members of the Stonewall Diversity Champions Programme. We are committed to actively exploring flexible working options for each role and have been ranked in the Top 30 family friendly employers in the UK by the charity Working Families . Find out more about our key commitments to Equality, Diversity and Inclusion and Flexible Working here .

Working Arrangements

Collaborating and connecting are integral to so much of what we do. Our Working Arrangements Framework provides many staff with the opportunity to flexibly combine on-site and remote working, where job roles allow, balancing the needs of our community of staff, students, clients and partners.

How to apply

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

Apply online now . Please do not hesitate to contact us for further details on E: [email protected] . Please quote reference number 4801.

Closing date for receipt of applications: 28 April 2024

Requirements
Additional Information
Work Location(s)

Number of offers available

1

Company/Institute

CRANFIELD UNIVERSITY

Country

United Kingdom

City

Bedford

Geofield

Where to apply

Website

https://www.timeshighereducation.com/unijobs/listing/368765/research-fellow-in-…

Contact

City

Bedford

STATUS: EXPIRED