Qualification Type: | PhD |
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Location: | London |
Funding for: | UK Students |
Funding amount: | Full coverage of tuition fees and an annual tax-free stipend of £21,237 for Home students |
Hours: | Full Time |
Placed On: | 23rd October 2024 |
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Closes: | 3rd December 2024 |
Reference: | AE0055 |
Start date: 1st January 2025 (earliest), 1st July 2025 (latest).
Supervisor: Dr Davide Amato
Introduction: Congestion and competition in the space domain have escalated in the last decade, presenting significant challenges for the safety, security, and sustainability of space activities due to the risk of in-space collisions creating space debris. Future algorithms for Space Situational Awareness (SSA) systems will need to track rapidly increasing numbers of Resident Space Objects (RSOs) from cislunar space to low-Earth orbit. A key challenge in astrodynamics for SSA is to accurately predict trajectories of RSOs under uncertainty, especially when the objects are faint (they are small or far away) and the observations are infrequent.
Objectives: Two PhD opportunities are available in computational astrodynamics.
The first student will develop efficient computational methods for the realistic quantification of uncertainty in cislunar space. The student will generalise analytical methods in astrodynamics and data-driven methods to develop a robust cislunar state estimation framework. The student will be co-supervised by Dr Urban Fasel.
The second student will develop fast trajectory prediction methods with known accuracy bounds. The student will develop functional analysis techniques to solve and determine future trajectories in an optimization framework.
The developed algorithms will be validated through implementation on CICLOPS, an optical telescope system in development at Imperial.
Both students will be expected to submit publications to high-impact journals and present findings at major international conferences.
Learning opportunities: Upon completion of the projects, you will be an expert in astrodynamics and will have developed skills in spaceflight dynamics, navigation, and machine learning.
Duration: 3.5 years.
Funding:
Full coverage of tuition fees and an annual tax-free stipend of £21,237 for Home students.
These projects are within the AFOSR grant “Near-linear uncertainty quantification and tracking in the cislunar regime”.
Eligibility:
How to apply:
For queries regarding the application process, please contact:
Lisa Kelly: l.kelly@imperial.ac.uk
Application deadline: 3rd December 2024.
For further information: please email:
Dr Davide Amato, Lecturer in Spacecraft Engineering, d.amato@imperial.ac.uk.
You can also learn more about Imperial at www.imperial.ac.uk/study/pg.
Equality, Diversity and Inclusion: Imperial is committed to equality and valuing diversity. We are an Athena SWAN Silver Award winner, a Stonewall Diversity Champion, a Disability Confident Employer and are working in partnership with GIRES to promote respect for trans people.
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