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Position: Senior Research Fellow/Project Manager
Institution: University College London
Department: UCL Queen Square Institute of Neurology - Department of Brain Repair & Rehabilitation
Location: London, United Kingdom
Duties: The Programme for High-Dimensional Neurology will create a comprehensive, large-scale, multi-site, hospital-embedded framework for complex modelling of rich clinical and brain imaging data, and deliver a suite of real-world applications across stroke, neuroradiology, and acute cognitive dysfunction. The proposed applications will synthesis high-dimensional, multi-modal data to enable high-fidelity, individual-level prediction, inference, and prescription, for operational and clinical decision-making, aiming for real-world deployment within the time-frame of the project
Requirements: The successful candidate will hold an honours degree (2: 1 minimum), a higher degree or equivalent industrial experience in a relevant field, and ideally have experience of complex IT project management within the area of healthcare information technology
   
Text: Senior Research Fellow/Project Manager, - Ref:1818406 Click here to go back to search results Apply Now UCL Department / Division UCL Queen Square Institute of Neurology Specific unit / Sub department Department of Brain Repair & Rehabilitation Location of position London Grade 8 Hours Full Time Salary (inclusive of London allowance) £43,884 - £51,769 per annum Duties and Responsibilities UCL in partnership with KCL is launching a £4.5 million, Wellcome-funded, four-year programme of translational research seeking to transform acute neurology through the application of novel, domain-tailored machine learning. The Programme for High-Dimensional Neurology will create a comprehensive, large-scale, multi-site, hospital-embedded framework for complex modelling of rich clinical and brain imaging data, and deliver a suite of real-world applications across stroke, neuroradiology, and acute cognitive dysfunction. Unifying multidisciplinary expertise across UCL (Queen Square Institute of Neurology) and KCL (School of Biomedical Engineering & Imaging Sciences; Institute of Psychiatry, Psychology and Neuroscience), the programme will be deeply integrated with partner hospitals, and aligned with their priority research strategies, including UCLH's flagship Research Hospital Initiative to weave artificial intelligence into the operational and clinical fabric of the hospital. The proposed applications will synthesis high-dimensional, multi-modal data to enable high-fidelity, individual-level prediction, inference, and prescription, for operational and clinical decision-making, aiming for real-world deployment within the time-frame of the project. The programme is supported by globally unique clinical data sources including a curated catalogue > 10 6 annotated MR imaging sessions across neurology, and prospective streams of ~ 10 4 richly phenotyped patient admissions annually. Computation will be assisted by the largest hospital-embedded HPC installation in Europe with a joint capacity of > 15 petaFLOPS across project-dedicated facilities at UCL, and the London Medical Imaging & Artificial Intelligence Centre for Value-Based Healthcare. The programme will seek to pioneer novel, state-of-the-art machine learning methods rendered uniquely feasible by the conjunction of high performance compute with large-scale, comprehensive, fully-inclusive data. Special attention will be given to enabling large-scale distributed learning while assuring data security through the use of privacy-preserving generative models, and federated learning. We are building a large team of outstanding researchers with a passion for innovation with rapid, real-world impact, achievable within the life-time of the project. Successful applicants will join what is probably the largest and most ambitious project of its kind, apply their skills to globally unique datasets, and help deliver a flagship programme of translational research with major impact in the field. The programme represents a superb training opportunity both for those seeking an academic career in translational research and for those intending to move to industry through new spin-outs or established enterprises. The role involves coordinating all aspects of the programme - from infrastructure to communications - across the two participating institutions. The role will be based at the Institute of Neurology, and closely integrated with the National Hospital for Neurology and Neurosurgery, and University College Hospital. The UCL and KCL components of the team will operate jointly across all sites. We shall be collaborating with both large and small industry partners, including NVIDIA and IBM. The post is available immediately and is funded by the Wellcome Trust for 24 months in the first instance, extendible to May 2023. Key Requirements The successful candidate will hold an honours degree (2:1 minimum), a higher degree or equivalent industrial experience in a relevant field, and ideally have experience of complex IT project management within the area of healthcare information technology. Further Details A Job Description and Person Specification can be accessed at the bottom of this page. To apply for the vacancy, please click on the 'Apply Now' button below. If you have any queries regarding the application process, please contact Miss E Bertram, HR Manager, UCL Queen Square Institute of Neurology (email: IoN.HRAdmin@ucl.ac.uk ). UCL Taking Action for Equality We will consider applications to work on a part-time, flexible and job share basis wherever possible. Closing Date 24 Aug 2019 Latest time for the submission of applications 23:59 Interview date TBC Our department holds an Athena SWAN Silver award, in recognition of our commitment and demonstrable impact in advancing gender equality. This appointment is subject to UCL Terms and Conditions of Service for Research and Support Staff. Please use these links to find out more about UCL working life including the benefits we offer and UCL Terms and Conditions related to this job. Job Description and Person Specification Apply Now
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