Research Fellow in Guidance/Control/Estimation

Cranfield, United Kingdom
£33,809 to £35,693 per annum
20 Dec 2021
End of advertisement period
24 Jan 2022
Contract Type
Fixed Term

School/Department School of Aerospace, Transport and Manufacturing
Based at Cranfield Campus, Cranfield, Bedfordshire
Hours of work 37 hours per week, normally worked Monday to Friday. Flexible working will be considered.
Contract type Fixed term contract
Fixed Term Period 18 Months, with possible extension to 24 months
Salary Full time starting salary is normally in the range of £33,809 to £35,693 per annum
Apply by 24/01/2022

Role Description

Cranfield University School of Aerospace, Transport and Manufacturing welcomes applications from experts in guidance/control/estimation.

About the Role

This post will support the delivery of contract research on autonomous systems and more specifically on unmanned aerial systems within the Centre for Autonomous and Cyber-Physical Systems. You will be expected to deliver high quality publications and knowledge dissemination via effective written and oral communication skills. The appointed staff is expected to work closely with all research teams of the Centre, the Aerospace Integration Research Centre and Digital Aviation Research and Technology Centre.

In this role you will develop guidance/control/estimation solutions for unmanned aerial systems. It is expected that efficient operations of unmanned aerial systems will make a significant and revolutionary social, economic, and research impact. To enhance the level of autonomy of these systems, it is widely accepted that the guidance/control/estimation functionalities are essential. Therefore, the focus of the research is to develop different guidance/control/estimation capabilities of autonomous systems, analyse their performance and safety measures, and validate them through flight tests.

About You

This role requires knowledge and deep understanding of guidance/control/ estimation theories, and experience on developing and testing relevant algorithms. Knowledge and experience on emerging technologies such as machine learning would be desirable for this role. This role would suit an individual with excellent communication skills, high degree of personal motivation, and the ability to independently work. You will hold a PhD level degree (or close to completion) in a guidance/control/estimation related subject, e.g., aerospace engineering, electronic engineering, or related fields.

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 Centre for Cyber-Physical Systems has a leading reputation in autonomous and space systems, established with over 15 years of research in this field. We cover all types of autonomous vehicles including airborne, ground and marine as well as autonomous space exploration.

Autonomous Systems is a key research theme at Cranfield, the School offers a unique capability that addresses the current agenda of industry, government and non-governmental organisations. Research intensive and client-focused, we also deliver a vibrant postgraduate teaching programme which meets the current and emerging needs of employers in the sector. More information can be found here.

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. Find out about our key commitments to Equality, Diversity and Inclusion and Flexible Working here. We are currently piloting hybrid working arrangements until April 2022.  This means the majority of our staff are spending between 40% and 60% of their time working from the office where job roles allow.

How to apply

For an informal discussion about this opportunity, please contact Hyo-Sang Shin, Professor of Guidance, Navigation and Control on (T); +44 (0)1234 758577 or +44 (0)1234 750111 Ext. 8577 or (E);

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