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) Assessing the performance and fault tolerance of neuromorphic hardware; (b) Designing and developing one or more machine learning (ML) and artificial intelligence (AI) algorithms to support and enhance
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anomalies, inconsistencies, or transformation errors; Compare source data against imported data to ensure accuracy and completeness; Automate validation procedures, where feasible. Documentation: Maintain
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: autonomous and fault-tolerant systems (including health monitoring systems), advanced guidance, control, estimation and optimisation techniques and tools, and the technology development of GNC sensors with a
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function and the brain, we will use experimental measures from our departments to quantify motor learning. This involves using sensory information to correct errors in the motor system, essential
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related to the position: AOCS subsystem architecture, design, testing and verification (including control design algorithms, analysis and simulation) Pointing error engineering Smallsat and nanosat AOCS