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Featured byKing's College London
Overview
Scholarship type
Merit based
Number of scholarships to award
Multiple
Grant
Full tuition waiver + stipends
Scholarship coverage
- tuition fee reduction
- other
Description
Future in-orbit space missions and operations will involve servicing and repairing satellites, assembling large infrastructure such as a solar power station, deploying assets for scientific investigation such as a space telescope, and capturing and retrieving space debris, etc. These advanced space applications require more advanced robotic and AI capabilities for future spacecraft.
This PhD research aims to address the enabling technology of visual navigation within orbital robotic and autonomous systems. It will investigate the state-of-the-art solutions for robotic navigation between the mother spacecraft and the target objects in space (either cooperative or non-cooperative). The research will focus on developing novel relative navigation algorithms based on vision data (e.g. from optical camera and/or lidar) using minimalistic computational power and time and achieving optimal performance in accuracy. The project will also involve hardware implementation and validation of the developed software using orbital robotics testbed on Earth.
Applicable programmes
Benefits
Full scholarship covering 3.5-year of:
Tuition fee (UK or international);
Stipend at UKRI rate.
Eligibility
- Applicants will need to be pursuing a PhD in the Department of Engineering majoring in Electrical Engineering, Electronic Engineering, Mechanical Engineering, Mechatronics, Robotics, AI.
- This funding is open to all nationalities. Applicants will need to have a first or upper second class honours Bachelor degree or equivalent, ideally a Master's degree and be able to demonstrate good problem-solving, analytical skills, and hands-on experience.
- Evidence of programming with Matlab, C++ or Python is essential and experience in Space, Robotics and AI would be a significant advantage.
Scholarship requirements
Disciplines
Multiple disciplines
Locations
United Kingdom
Nationality
Any
Study experience required
Master
Age
Unknown
Application
Application deadline
Not specified
To be considered for the position candidates must apply via King’s Apply online application system.
Please apply for Engineering Research (MPhil/PhD) and indicate your desired supervisor Professor of Yang Gao and the project title in your application and all correspondence.