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to accelerate product innovation and increase business productivity with an automated, scalable platform for the development of wireless sensor network products (firmware) using mathematical modelling and
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, anomaly detection, cybersecurity, or distributed AI systems. We welcome candidates with experience in edge data pipelines, sensor data processing, and AI-based forecasting or classification. We particularly
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to balance accuracy, latency, and power consumption. Integrate edge AI solutions with sensor data streams and device hardware. Develop observability tools for monitoring model quality, drift, and system health
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discussions and conferences in order to maximise the profile of the project and disseminate good practice to the sector. Lead the 5 university’s relationship with the Commercialisation and Spin Out Fund
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, Skills and Experience • You will have substantial technical experience in time series analysis, ideally either in neurophysiology data or wearable sensor data • You will have experience of at least
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. Working with the Chair of RO to raise the profile of Realising Opportunities within the sector and representing the interests of the Project and its partners at relevant meetings, round table discussions
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contemporary high-resolution next-generation sequencing and array-based genomic and epigenomic datasets across large cohorts of human tumours and experimental models, alongside complex drug screening, efficacy