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Position: Research Fellow in Artificial Intelligence for Health
Institution: University College London
Department: Computer Science
Location: London, United Kingdom
Duties: The Department of Computer Science is looking to recruit a researcher in Artificial Intelligence for Health. This position is funded by the EPSRC project i-sense and an unrestricted Google Gift. The successful candidate should have the desire and ability to: develop machine learning methods for digital (computational) epidemiology with a focus on (i) forecasting infectious disease prevalence (e.g. COVID-19, influenza) using neural network architectures that are able to leverage non-medical information such as Web search activity, and (ii) personalised health particularly with respect to distinguishing those at high risk of a health event
Requirements: The successful candidate should have a PhD in a relevant subject (or should at least have submitted their PhD Thesis), with strong experience in machine learning, proven by a strong publication track in related conference venues and journals. Previous experience in health-related topics is a desirable skill
   
Text: Research Fellow in Artificial Intelligence for Health, - Ref:1881446 Click here to go back to search results Apply Now UCL Department / Division Computer Science Location of position London Grade 7 Hours Full Time Salary (inclusive of London allowance) £36,770 - £44,388 per annum Duties and Responsibilities The Department of Computer Science is looking to recruit a researcher in Artificial Intelligence for Health. This position is funded by the EPSRC project i-sense and an unrestricted Google Gift. The successful candidate should have the desire and ability to: develop machine learning methods for digital (computational) epidemiology with a focus on (i) forecasting infectious disease prevalence (e.g. COVID-19, influenza) using neural network architectures that are able to leverage non-medical information such as Web search activity, and (ii) personalised health particularly with respect to distinguishing those at high risk of a health event. This post will be funded until 30th September 2023 in the first instance. Key Requirements The successful candidate should have a PhD in a relevant subject (or should at least have submitted their PhD Thesis), with strong experience in machine learning, proven by a strong publication track in related conference venues and journals. Previous experience in health-related topics is a desirable skill. Appointment at Grade 7 is dependent upon having been awarded a PhD; if this is not the case, initial appointment will be at Research Assistant Grade 6B (salary £32,217 - £33,958 per annum) with payment at Grade 7 being backdated to the date of final submission of the PhD thesis. 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 vacancy or the application process, please contact Prof. Ingemar J. Cox at i.cox@ucl.ac.uk and Dr. Vasileios Lampos at v.lampos@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 20 May 2022 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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