Research Fellow in Autonomous Systems
An exciting opportunity has risen for a Research Fellow to join the Centre for Autonomous and Cyber-Physical Systems in the School of Aerospace, Transport and Manufacturing at Cranfield University to work on an InnovateUK funded project. Cranfield University is an exclusively postgraduate institution and a global leader for education and transformational research in technology and management. The Centre for Autonomous and 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.
Advances in machine learning, high-performance computing, data science, multimodal sensing, and control are coming together to create enormous opportunities for intelligent, autonomous, or semi-autonomous systems. Such artificial intelligence systems are starting to achieve cognitive abilities such as attention, and creativity, promising to improve the safety and efficiency of increasingly autonomous systems in aerospace and aviation.
You will be involved in a multiple university research project funded by EPSRC and supported from a number of industrial partners. The aim is to realise a step change in aerial robotics capability and operations. It will be driven by science and industry problems in order to target fundamental research in five key areas: Integration, Safety, Autonomy, Agility, Capability and Scalability. The project will prove fundamental research through a wide variety of realistic case studies. These will be undertaken with academic and industry partners, focussing on demonstrating key technologies and concepts.
You will have a PhD (or close to completion) in a relevant engineering discipline such as aerospace engineering, artificial intelligence, autonomous systems or related fields. You must have experience working in the area of embedded systems, guidance and control. Strong programming skills (especially in C/C++) is essential and experience with MATLAB/Simulink.
You will be a confident, self-motivated, enthusiastic, flexible independent researcher and have excellent project and time management skills ensuring that milestones and deliverables are achieved to time and to high quality. You will also possess excellent oral, written communication and presentation skills.
For an informal discussion please contact Professor Antonios Tsourdos, Director of Research for SATM / Head of the Centre for Autonomous and Cyber-Physical Systems on (E); email@example.com or (T); +44 (0) 1234 75 8578.
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.