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 36 Months
Salary Starting salary is normally £33,809 per annum to £37,684 per annum
Apply by 30/01/2022 

Role Description

We welcome applications from prospective Research Fellows in AI and Autonomous Systems with experience in designing, training, and validation of machine learning, to work in the Centre for Autonomous and Cyber-physical Systems. This exciting new role is not assigned to a specific research project and will be part of the new Human Machine Intelligence Research Group to support a variety of research and teaching activities going forwards. 

About the Role

Our reputation for leading in the field of digital systems: sensor data, communications, machine learning, and reasoning - has been established through more than thirty years of research into this field. The research group you would be joining is primarily focused in research on trustworthy and secure AI and data communications for future autonomous air and land systems.  Research works span from fundamental research and development to single client contract research and development. Our work covers academic provision (MSc and PhD) and research.

About You

You will be educated to doctoral level (or very close to completion) in a relevant subject and your skills & knowledge will mean you can contribute to research & teaching activities such as (1) research in machine learning for autonomous systems (especially in aerospace and transport sector), (2) teaching in basic data science and machine learning for engineers in our MSc course, (3) engage with business and defence stakeholders to develop research projects, and (4) assist in activities in the group with other academics. You will be expected to collaborate with the existing staff working in the same group and centre and have communications and meetings with our collaborators within the university, the industrial and defence partners, or in other universities. In return, the successful applicant will have exciting opportunities for career development in this key position, and to be at the forefront of world leading research and education, joining a supportive team and environment.

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. 

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.  To further demonstrate our commitment to progressing gender diversity in STEM, we are members of WES & Working Families, and sponsors of International Women in Engineering Day.

How to apply

For an informal discussion about this opportunity, please contact the head of group: Prof. Weisi Guo prior to application by emailing weisi.guo@cranfield.ac.uk

Please do not hesitate to contact us for further details on E: hr@cranfield.ac.uk. Please quote reference number 3813.

Closing date for receipt of applications:  30 January 2022