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Field
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of research in applied statistics or actuarial data science - which may also include machine learning, financial risk and climate change risk - as demonstrated through publications, citations, external
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combined with human support. About the role The Research Scientist in Machine Learning for Wearables will develop predictive deep learning models to assess maternal and partner health and behaviour
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and visualisation. Identify and establish best practices in the patient pathway and referral network through utilisation of descriptive analytics. Use predictive analytics and machine learning to drive
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, robotics, natural language processing, programming languages, AI, data science and machine learning. The School has an extensive portfolio of taught programmes, including the new MSc Computer Science
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first degree in an Engineering or Engineering-related subject and a PhD with appropriate content. Proven experience of experimentation and FEA modelling. Experience in some of the following areas will be
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research plans of the candidate), in visualization and data analysis, cooperative systems, data mining and machine learning, education, didactics and entertainment computing, or Neuroinformatics. Across
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, physical layer design, machine learning, and their applications to wireless communications. The successful candidate will also contribute to the formulation and submission of high-quality research
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at industry-facing events. Strong technical and scientific knowledge in machine learning, preferably with experience in large language models (LLMs). Solid foundations in mathematics and engineering
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research experience in using mathematical Machine Learning and AI methods, or applied mathematics, to solve challenging problems. Your research will have potential for real-world application in areas
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regenerative medicine, biosensing, and therapeutics. Learn more at www.stevensgroup.org . This post is available from October 2025 for a fixed-term of 18 months, with the possibility of part-time appointments