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  • Posted on: 17th Jan 2022
  • Salary: £36,770 - £44,388 per annum
  • REF: 1881446
  • Closes: 16th February 2022
  • Contract Type: Fixed-Term/Contract
  • Hours: Full Time, Part Time

Duties and Responsibilities

The Department of Computer Science is looking to recruit a researcher in Machine learning methods for digital epidemiology. 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: (a) develop machine learning methods for digital/computational epidemiology with a focus on disease prevalence forecasting using neural network architectures that are able to leverage non-medical information such as web search activity, (b) constraint models developed in (a) with priors from established epidemiological approaches (e.g. mechanistic models) in joint optimisation frameworks, (c) publish the outcomes in peer-reviewed conferences or journals, and (d) deploy such models to forecast influenza and COVID-19 rates in the UK (at least) and share outcomes with the UK Health Security Agency.

This post will be funded for 2 years 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

16 Feb 2022

Latest time for the submission of applications


Interview date


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.

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