Research Assistant or Fellow in Predictive Maintenance of Aircraft Systems

TN United Kingdom; Bedford; Hybrid; GBP 30,000 - 45,000; Full time

Job summary

Cranfield University seeks a Research Assistant or Fellow in Predictive Maintenance of Aircraft Systems in Bedford. This role involves conducting advanced research on AI-Enhanced Digital Twins and predictive maintenance for aircraft systems. Candidates should have a relevant PhD or Master's degree and experience in aircraft systems, with strong analytical and communication skills. Flexible working arrangements are supported.

Benefits

Flexible working options

Commitment to equality, diversity, and inclusion

Qualifications

• PhD or Master's in Aerospace, Mechanical, Electrical, or Software Engineering required.
• Experience in aircraft systems, predictive maintenance, or digital twin technologies essential.
• Strong analytical, problem-solving, planning, organizational, and communication skills needed.

Responsibilities

• Conduct high-quality research related to AI-Enhanced Digital Twins for aircraft systems.
• Integrate data streams, identify failures, and optimize sensors for predictive maintenance.
• Manage research tasks, organize meetings, and produce deliverables.

Skills

Analytical skills

Problem-solving

Planning

Organizational skills

Communication skills

Education

PhD in Aerospace, Mechanical, Electrical, or Software Engineering

Master's degree (MSc, or near completion) in relevant fields

Tools

MATLAB

Python

Job description

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Research Assistant or Fellow in Predictive Maintenance of Aircraft Systems, Bedford

Client: Cranfield University

Location: Bedford, United Kingdom

Job Category: Other

EU work permit required: Yes

Job Reference: 2b8d14b9f945

Job Views: 3

Posted: 23.05.2025

Expiry Date: 07.07.2025

Job Description:

Role Description

Research Assistant or Fellow in Predictive Maintenance of Aircraft Systems

We welcome applications from committed and skilled candidates to join our team to support and deliver to an industry-funded project led by a major aircraft design company.

About the Role

The purpose of this position is to support and deliver on an industry-funded project led by a major aircraft design company. Responsibilities include conducting high-quality research related to the Cranfield University project work package on AI-Enhanced Digital Twins and High-Level Reasoner Decision Support System for aircraft systems. You will integrate heterogeneous data streams (from sensory, physics models, etc.), identify impending failures, trace system faults, and optimize sensors to ensure robust condition monitoring, predictive maintenance, and PHM over the aircraft's lifecycle. Additionally, you will manage research tasks, organize meetings, produce deliverables, and coordinate activities, requiring excellent interpersonal skills.

About You

You should hold a PhD in Aerospace, Mechanical, Electrical, or Software Engineering for the Research Fellow role, or a Master's degree (MSc, or near completion) in one of these fields for the Research Assistant role. Experience in aircraft systems, predictive maintenance, or digital twin technologies, using qualitative and quantitative approaches, is essential. Strong analytical, problem-solving, planning, organizational, and communication skills are required. Familiarity with programming tools like MATLAB or Python, aircraft systems modelling, AI applications, and simulation tools is advantageous. The ability to work independently and collaboratively in a multidisciplinary environment is important, along with a commitment to high-quality research and the ability to manage priorities.

About Us

Cranfield University is a leading postgraduate institution with world-class expertise, extensive facilities, and strong industry partnerships, creating global leaders in technology and management. The Faculty of Engineering and Applied Science (FEAS) offers postgraduate engineering education, research, and technology support, focusing on aerospace, manufacturing, and transport systems. The Integrated Vehicle Health Management (IVHM) Centre, launched in partnership with industry leaders like Boeing, Rolls Royce, BAE Systems, Meggitt, and Thales, develops diagnostic and prognostic capabilities for aircraft maintenance and health management, utilizing advanced digital technologies such as AI and Digital Twins.

Our values include Ambition, Impact, Respect, and Community. We promote a culture of collaboration and inclusivity, being a Disability Confident Employer and a member of the Stonewall Diversity Champions Programme. We offer flexible working options and are committed to equality, diversity, and inclusion.

Working Arrangements

Our framework supports flexible work arrangements, combining on-site and remote work to meet the needs of our staff, students, clients, and partners.