Developing techniques for debris cleansing and avoidance in autonomous space systems; Smart mobility solutions and trajectory optimisation for space traffic management; Designing multi-swarm control strategies for deep-space exploration and resource utilisation; Participate in relevant technical committees, consider the usage of standards, and contribute to standardisation documents; Present findings at international events
Requirements:
The candidate should possess an MSc degree or equivalent in Aerospace Engineering, Computer Science, or any related engineering discipline; The ideal candidate should have some knowledge and/or experience in several of the following topics: Optimisation algorithms; Machine learning algorithms; Swarm intelligence; Algorithmics; Parallel/Distributed computing; Space systems engineering, orbital mechanics, and satellite operations; Technical standardisation
Text:
PhD Candidate in Sustainable Space Developing techniques for debris cleansing and avoidance in autonomous space systems; Smart mobility solutions and trajectory optimisation for space traffic management; Designing multi-swarm control strategies for deep-space exploration and resource utilisation; Participate in relevant technical committees, consider the usage of standards, and contribute to standardisation documents; Present findings at international events The candidate should possess an MSc degree or equivalent in Aerospace Engineering, Computer Science, or any related engineering discipline; The ideal candidate should have some knowledge and/or experience in several of the following topics: Optimisation algorithms; Machine learning algorithms; Swarm intelligence; Algorithmics; Parallel/Distributed computing; Space systems engineering, orbital mechanics, and satellite operations; Technical standardisation
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