Research Assistant in Navigation Systems

6 Apr 2024
Job Information

Organisation/Company

CRANFIELD UNIVERSITY

Research Field

Engineering
Computer science

Researcher Profile

Recognised Researcher (R2)
First Stage Researcher (R1)

Country

United Kingdom

Application Deadline

18 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: until 1 October 2025
Salary: Full time starting salary is normally in the range of £28,203 per annum
Apply by: 18/04/2024

Role Description

About the Role

This fixed-term post focuses on the development and validation of Position, Navigation and Timing (PNT) systems utilising a range of existing Cranfield facilities, such as Multi-User Environment for Autonomous Vehicle Innovation (MUEAVI), PNT simulator, Research and Innovation Timing Node and supporting research projects in the area of Intelligent Transport Systems, Autonomy, Navigation and Synchronization for Autonomous Systems. As Research Assistant you will be developing prototype systems based on Commercial Off-the-Shelf (COTS) components, designing and implementing into the prototype system algorithms for data acquisition, processing and fusion for a diverse range of sensors including inertial and satellite navigation systems (IMU, GNSS and LEO), cameras and timing sources. You will be also supporting testing and validation activities utilizing MUEAVI capabilities and mobile platforms for the delivery of research projects.

About You

You will be educated to MSc level (or close to completion) in an Aerospace Engineering or Computer Science and knowledgeable in hardware and software for multi-sensor systems within mobile platforms or cyber-physical systems and have experience of management research using both qualitative and quantitative methods. With excellent communication skills, you will have expertise in the implementation of sensor data acquisition, processing, and sensor fusion in the hardware. A background in machine learning applications for these tasks would be an advantage. You will be confident in using modelling and simulation tools for autonomous system applications and be able to work both independently and as part of a team.

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 .

Aerospace is at the heart of Cranfield’s global research airport and is renowned throughout the world for its teaching and research in the fields of aviation and aerospace.  Cranfield Aerospace’s six centres are the powerhouses of our world-class research, driving technological and conceptual advances in aeronautics, propulsion engineering, cyber-physical systems and intelligent automation. Through the strong links with industry built over the past 70 years, we focus on defining and delivering the aircraft, airport and airspace management of the future and are the only university in Europe with our own airport and runway.  Cranfield Aerospace is internationally recognised as the first choice for research and education in all aspects of aerospace including aircraft, drones, urban air mobility and space.  Find out more about our work here About Aerospace .

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 about this opportunity, please contact Dr Ivan Petrunin, Reader in Signal Processing for Autonomous Systems, on +44 (0)1234 750111 Ext. 8262 or [email protected]

Apply online now . Please do not hesitate to contact us for further details on E: [email protected] .  Please quote reference number 4786.

Closing date for receipt of applications: 18 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/368772/research-assistant-…

Contact

City

Bedford

STATUS: EXPIRED