Robust Autonomous Navigation Based on Artificial Intelligence Approaches

Cranfield University

Centre for Autonomous and Cyber-Physical Systems

Project Description

This is an excellent fully-funded PhD opportunity in the area of autonomy, navigation, and artificial intelligence, aiming to pave a way to wider implementation of autonomous systems, such as drones or self-driving cars into our everyday life.

Although these systems are in use for some years, robustness of their autonomous operations, including the ability to navigate safely in complex urban environments, is still an open challenge.

This project will focus on the development of assured AI-based navigation solution for unmanned aerial vehicle (UAV), which allows for reliable operation in safety-critical missions when satellite navigation, such as GPS or GNSS is not available or severely degraded in quality.

Cranfield is an exclusively postgraduate university in technology and management, widely recognised for delivering outstanding transformational research that meets the needs of business, government, and the wider society. EPSRC through their funding program offers this collaboration research opportunity between Cranfield and Spirent Communications, who is the leading global provider of automated test and assurance solutions for networks, cybersecurity, and positioning.

In this exciting project, you will be exposed to the latest technological developments and learn from both academic and industrial experts in this area. Being supported by extensive training options for both technical and transferrable skills will help you to become well prepared for your future success in either industry or academia.

Start date: 1st February 2021.

Reference Number: SATM176

Duration of award: 3 years

Funding Information

Sponsored by EPSRC, Cranfield University, and Spirent Communication, this studentship will provide a selected eligible candidate bursary up to £20,000 (tax-free) plus fees for three years. You will have an opportunity to travel to international conferences and meet industrial collaborators for training, guidance, and experimentation.

To be eligible for this funding, applicants should have no restrictions regarding how long they can stay in the UK, i.e.:

  • Have no visa restrictions or,
  • The applicant has “settled status” and has been “ordinarily resident” in the UK for 3 years prior to the start of studies and has not been residing in the UK wholly or mainly for the purpose of full-time education (this does not apply to UK or EU nationals).

Due to funding restrictions, all EU nationals are eligible to receive a fees-only award if they do not have “settled status” in the UK.

Eligibility Requirements

Applicants should have a first or second class UK honours degree or equivalent in a related discipline.

This project would suit someone with:

  • A strong background in computer programming (e.g. C/C++, Python, Rust).
  • A hands-on approach with skills in the implementation of control/fusion/learning-based techniques in the areas of robotics, unmanned, or autonomous systems.
  • Demonstrable knowledge in statistical modelling and data analytics.
  • Keen to work with equipment and electronics.
  • Be comfortable with working in R&D team of engineers.

Application Process

If you are eligible to apply for this studentship, please complete the online application form.

For further information please contact:
Name: Dr. Ivan Petrunin
Email: [email protected]
T: (0) 1234 750111 Ext: 8262

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