A fully funded PhD studentship in the Centre for Autonomous and Cyber-Physical Systems at Cranfield University and great opportunity to work closely with Thales UK industry, they are leading aerospace organisation at the forefront of Sustainable Aviation to research and develop novel aircraft communications and data management concepts. We are looking for enthusiastic, inquisitive and motivated researchers with a strong interest in avionics system to join a diverse and inclusive research group focusing on technologies for the system integration of data multi-link and the exploration of advanced communications technology and predications-based analysis methods.
This initiative aims to enhance the reliability and data management of the aviation system by addressing communication gaps between the current and future systems and improving flight dynamics. The existing aviation technology and processes have limitations in managing data exchange and ensuring high-quality service (QoS). Consequently, the project proposes a system that leverages connectivity and flight dynamics, incorporating Artificial Intelligence (AI) and Machine Learning (ML) to develop innovative prediction mechanisms.
The primary goal of this project is to design advanced communication system algorithms that take into account the integration of both terrestrial and non-terrestrial networks. The focus is on exploring the optimization of aircraft communication links by leveraging hybrid networks, including 5G, HF, VHF, satellite, ground-based, and unconventional bearers. The optimization process will be based on considering flight dynamic parameters and manoeuvres, aiming to enhance the overall efficiency and reliability of communication systems in aviation.
Cranfield University's Autonomous and Cyber Physical System Centre (ACPS) will host this project, benefiting from the institution's research facilities, notably the Digital Aviation Research and Technology Centre (DARTeC). These collaborative and adaptable spaces offer specialized equipment for aircraft dynamic flight, connectivity, digital data acquisition (such as sensors), and various forms of data extraction, processing, and simulation. Thales UK will serve as the industry sponsor for this project, providing valuable support. Through on-site industrial placements throughout the research project's duration, Thales UK will offer access to aviation engineering specialists. This collaboration aims to enhance understanding of industrial requirements and facilitate the practical application of research findings.
The results of this project will contribute to an enhanced comprehension of the possibilities and constraints associated with employing digital communication networks and flight dynamics in the field of aviation. The findings will extend to aircraft and airline operations, serving as a fundamental groundwork for future research initiatives. Furthermore, the insights gained from the project will be instrumental in guiding the industry, offering valuable information on areas that can be leveraged for the development of commercial solutions.
The student involved in this project will acquire valuable skills through immersive experiences, including travel and close collaboration with our industrial partner, Thales. Engaging in conferences, seminars, workshops, and various training and development opportunities will further enrich their skill set. This multifaceted approach aims to provide the student with a well-rounded and practical skill development experience, enhancing their capabilities in the context of the project and beyond.
How to apply
If you are eligible to apply for this research studentship please complete the online application form.
For further information please contact
Professor Saba Al-Rubaye