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. This is part of an EPSRC-funded project on Algorithmic Comparison of Stochastic Systems. The post holder will work closely with the Principal Investigator, Stefan Kiefer, but also with other members of a
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Join Oxford Digital Health Labs as a Senior Research Scientist or Software Engineer, where you will play a pivotal role in developing advanced algorithms for cardiotocography and fetal ECG analysis
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the European Research Council (ERC). The project aims to tackle central challenges in the fields of online algorithms and learning-augmented algorithms. Goals of the project include the advancement
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analysis of new and existing large-scale wearable sensor datasets. There will be exciting opportunities to recruit participants and support collection of new wearable camera and accelerometer datasets with
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are looking for a researcher to drive the preparation and analysis of new and existing large-scale wearable sensor datasets. You will be an integral member of the wearables group based at Oxford, led by Aiden
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-flux sensors for high-pressure and temperature environments, to work within the planned programme of research. Informal enquiries may be addressed to Dr Martin Davy (email: martin.davy@eng.ox.ac.uk
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for long-term production projects including large arrays of full-recticle and wafer-size semiconductor sensors, as well as one-off R&D pieces and small commercial activities requiring a rapid turnaround
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system with integrated sensors. You should hold or be near completion of a PhD/DPhil with relevant experience in the field of robotics, biomedical engineering, information engineering, electrical
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Engineering, Mathematics, Statistics, Computer Science or conjugate subject; strong record of publication in the relevant literature; good knowledge of machine learning algorithms and/or statistical methods
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specialist knowledge and experience in data acquisition, signal processing, and data analysis from wearable or non-wearable sensors and devices. You must be able and willing to travel away from Oxford, often