Research Fellow in MIMO Communication Systems for Aircraft Monitoring
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 £33,309 to £35,166 per annum
Apply by 30/03/2021
Cranfield University School of Aerospace, Transport and Manufacturing welcomes applications from prospective Research Fellows in MIMO Communication Systems for Aircraft Monitoring.
As the UK’s only exclusively postgraduate university, Cranfield’s world-class expertise, large-scale facilities and unrivalled industry partnerships is creating leaders in technology and management globally. Our distinctive expertise is in our deep understanding of technology and management and how these work together to benefit the world.
Our people are our most valuable resource and everyone has a role to play in shaping the future of our university, developing our learners, and transforming the businesses we work with. Learn more about Cranfield and our unique impact here. Our shared, stated values help to define who we are and underpin everything we do: Ambition; Impact; Respect; and Community. Find out more here.
The School of Aerospace, Transport and Manufacturing (SATM) is a leading provider of postgraduate level engineering education, research and technology support to individuals and organisations. At the forefront of aerospace, manufacturing and transport systems technology and management for over 70 years, we deliver multi-disciplinary solutions to the complex challenges facing industry.
Our reputation for leading in the field of aerospace and space systems, their communication systems, and signal processing has been established through more than thirty years of research into this field. We are primarily focused in this project on high bandwidth wireless systems for complex onboard aircraft structural health monitoring challenges. This post is part of a larger project to support aircraft digital twins, satellite-5G interconnect, and unmanned systems.
We work in partnership with our industrial client to provide high quality training, research, development and consultancy to meet the challenges of these competitive markets. We have an outstanding international reputation for the quality of our work and our capability of performing both theoretical and experimental studies.
Our work covers academic provision (MSc and PhD) and research. Research works span from fundamental research and development to single client contract research and development.
As Research Fellow you will contribute to the research activities of the Centre for Autonomous and Cyberphysical Systems, especially concerning the specific activities of: (1) MIMO signal processing, (2) wireless physical layer and propagation channel modeling, and (3) antenna design and testing.
You will be expected to collaborate with the existing staff working in the area and have communications and meetings with our collaborators within the university, the industrial partner, or in other international universities.
You will be educated to doctoral level (or close to completion) in a relevant subject and have experience of management research using both qualitative and quantitative methods. With excellent communication skills, you will have expertise in social network analysis and a background in Health & Safety would be an advantage.
At Cranfield we value Diversity and Inclusion, and aim to create and maintain a culture in which everyone can work and study together harmoniously with dignity and respect and realise their full potential. 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.
Our equal opportunities and diversity monitoring has shown that women and minority ethnic groups are currently underrepresented within the university and so we actively encourage applications from eligible candidates from these groups.
We actively consider flexible working options such as part-time, compressed or flexible hours and/or an element of homeworking, and commit to exploring the possibilities for each role. Find out more here.
For an informal discussion about this role, please contact Professor Weisi Guo, Professor in Human Machine Intelligence, on Weisi.Guo@cranfield.ac.uk