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degree or equivalent in a related discipline. This project would suit individuals with academic or industrial experience in electronics, electrical engineering, systems engineering, or AI/data analytics
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recordings Familiarity with neuroanatomy and neurophysiology Knowledge of dynamical systems theory Excellent analytical and problem-solving skills Desirable criteria Advanced programming and data analysis
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Start date: November 2025 This PhD is an exciting opportunity to expand knowledge and understanding in the applications of natural chitinous polymers for bacterial/viral prevention and biofilm
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& robust control, and learning for dynamics & control. The main task of the PhD student will be to develop sound data-driven methodologies for learning control policies with provable guarantees
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| £20780 + £2500 industry top up (per annum (tax free)) Overview This exciting, fully-funded PhD opportunity invites applications from candidates with a robust foundation in data science, modelling, and
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will examine and develop methods that go beyond the Markovian paradigm. It will consider a range of time series data, focusing on those that show challenging properties of uncertainty, irregularity and
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bioinformatics Likelihood of advanced skills directly related to the research projects High level of analytical and problem-solving capability Ability to communicate complex information with clarity and to
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This PhD opportunity at Cranfield University invites candidates to explore the integration of AI into certification and lifecycle monitoring processes for safety-critical systems. The project delves
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from the Newcastle Urban Observatory, public transport ridership data, questionnaires and travel surveys, and the DARe MATSim agent-based modelling suite, this PhD will seek to gain a deeper
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). Overview We are looking for PhD candidate to work with The National Hub for Decarbonised, Adaptable and Resilient Transport Infrastructures (DARe ), led by Newcastle University and is jointly funded by EPSRC