Department: School of Electronic Engineering & Computer Science
Salary: £31,613 - £33,324 per annum (Research Assistant) or £34,220 - £38,084 per annum (Postdoctoral Research Assistant) (Grade 4)
Location: Mile End
Date posted: 29-Jan-2020
Closing date: 29-Feb-2020
Applications are invited for a fixed term post as Research Assistant or Postdoctoral Research Assistant in the School of Electronic Engineering and Computer Science at Queen Mary University of London to work on the Knowledge Discovery from Health Use Data (KNIFE) project, funded by Alan Turing Institute.
The increasing use and capability of Electronic Health Record (EHR) systems has made available large databases of patient records, linked across different health providers. However, there are both practical and technical challenges to overcome before these benefits can be achieved, including understanding the data, modelling the health processes from which the data originates and efficiently processing the data. The aim of this project, which started in April 2019, is to investigate these challenges as part of an inter-disciplinary team.
The successfully applicant should be able to demonstrate ability in programming, ideally in relation to data analytics using R, Python or similar languages. It is desirable that the applicant also demonstrates knowledge in probabilistic modelling, experience in data analysis and data modelling, ideally applied to medical data. Full details about the project and links to the collaborators can be found at: www.eecs.qmul.ac.uk/~william/projects/KNIFE. Details about the School Electronic Engineering and Computer Science (EECS) can be found at www.eecs.qmul.ac.uk and the Barts and the London School of Medicine and Dentistry (SMD) at www.smd.qmul.ac.uk
Applicants at Research Assistant level must have an excellent undergraduate or MSc degree (or equivalent) in Computer Science, Statistics, Decision Science or a related topic, most likely with experience in employment or research. It is ideal to have experience with conducting research, understanding the research process and summarising findings. Applicants at Postdoctoral Research Assistant level must have a PhD (or equivalent) in Computer Science, Mathematics, Statistics or other topics related to data analysis, ML or probabilistic modelling. All applicants are expected to demonstrate experience of working in a collaborative inter-disciplinary setting, preferably medical. Knowledge of probability and statistics is essential, with experience of the analysis of data and building statistical or AI models, particularly Bayesian networks, preferred.
This is a full time post for 8 months or until 31 Dec 2020 whichever is the shorter, starting 1 May 2020 (or as soon as feasible after this date). Starting salary will be in the range £31,613-£33,324 (Research Assistant) or £34,220- £38,084 (Postdoctoral Research Assistant) inclusive of London allowance. Benefits include 30 days annual leave, pension scheme and interest-free season ticket loan. Part time working or job share will be considered; please state this clearly on your application.
Candidates must be able to demonstrate their eligibility to work in the UK in accordance with the Immigration, Asylum and Nationality Act 2006. Where required this may include entry clearance or continued leave to remain under the Points Based Immigration Scheme.
Informal enquiries should be addressed to Dr William Marsh (email@example.com)
To apply, please click on the link below.
Candidates are kindly requested to upload documents totaling no more than 10 pages.
Please note large documents, e.g. PhD thesis/Research papers, are not forwarded to the interview panel.
Closing date for applications is 29 February 2020. Interviews will be held shortly thereafter.
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