Cranfield – Research Fellow in Future Air Mobility (2 posts)

Cranfield University’s world-class expertise, large-scale facilities and unrivalled industry partnerships is creating leaders in technology and management globally. Learn more about Cranfield and our unique impact here.

Cranfield School of Aerospace, Transport and Manufacturing welcomes applications from prospective Research Fellows in Future Air Mobility, as part of the H2020 SESAR funded AMU-LED Project.

About the School
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 advanced air mobility, ATM/UTM, autonomous vehicle systems, applied artificial intelligence and control engineering has been established through more than thirty years of research into this field.

About the Role
AMU-LED project is a H2020 SESAR 2-year grant with companies such as Everis, Boeing, Airbus, Jeppesen and NLR developing the key technologies and the very large demonstration of Urban Air Mobility flying with manned and unmanned aircraft in the same airspace.  Cranfield University’s participation involves in development of key technologies such as:

  • Urban Air Mobility Mission Management
  • A novel synthetic ATM/UTM use case-scenario simulation
  • Platform, Missions and performance assessment and U-Space systems models
  • Disruption management framework for non-nominal operations and the facilitation and integration activities of the flight testing and the very large test demonstration of urban air mobility.

We work in partnership with industrial clients and research organisations 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.

Cranfield University has been awarded a number of prestigious research grants about trustworthy autonomy, future air mobility and applied artificial intelligence. We are recruiting 2 research fellows for this strategic H2020 project to work under the umbrella of our general research vector in Future Air Mobility focus.

About You
As Research Fellow you will contribute to the research activities of the Centre for Autonomous and Cyber-Physical Systems, especially concerning the specific projects described above. 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 or in other international universities.

You will hold a PhD (or close to completion) in a relevant subject and have experience of management research using both qualitative and quantitative methods. You are expected to also have excellent communication skills.

Our Values

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.

Diversity and Inclusion
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.

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.

Flexible Working
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.

How to apply
For an informal discussion about this opportunity, please contact Professor Gokhan Inalhan, Professor of Autonomous Systems and AI, on (E); [email protected]

Apply online now. Please don’t hesitate to contact us for further details on (E); [email protected]. Please quote reference number 3500.Apply Now