|Salary:||£33,380 to £38,893 see advert text|
|Placed On:||24th September 2018|
|Closes:||25th October 2018|
£33,380-£35,061 Level A Research Assistant
£37,904-£38,893 Level B Research Associate
Campus: St Mary’s Campus, Paddington
We seek outstanding candidates to work on a two-year project to develop statistical tools to predict and understand the dynamics of NHS hospital attendance at St Mary’s Hospital in Paddington, London.
Managing and predicting the rates of admission along with the duration of stay at emergency departments is essential for preventing infection, planning rosters for staff and in the financial and strategic planning. Failure to make provision for surges in demand leads to overcrowding, which has been linked to adverse patient outcomes, poor access to care and diseconomies of scale. Despite its importance, methods for predicting demand and understanding the underlying dynamics have not been well studied.
We seek an exceptional and technically proficient Research Assistant or Associate to utilise the current state-of-the-art techniques from machine learning and statistics to investigate:
New methods and models will be expected to directly inform practitioners within St Mary’s hospital.
Applicants should have an MSc (for appointment to Research Assistant) or PhD (for appointment to Research Associate) or equivalent in one of the following areas: statistics, mathematics, machine learning, economics, computer science or a similarly quantitative discipline. You will have research experience in time series analysis / methods and in machine learning. You should also have experience with modern statistical inference tools.
The post will be based within the Medical Research Council (MRC) Centre for Global Infectious Disease Analysis and affiliated with the Imperial College Data Science Institute.
This post is full time and fixed term until 31 October 2020 and will be based at the St Mary’s Campus, Paddington. Imperial College is supportive of flexible working. The College is happy to discuss the possibility of implementing such arrangements for this post, with suitably qualified people, subject to operational requirements.
Should you have any queries please contact: Dr Sam Bhatt (firstname.lastname@example.org) or Dr Seth Flaxman (email@example.com).
Closing date: 25 October 2018 (midnight GMT)
Committed to equality and valuing diversity, we are also an Athena SWAN Silver Award winner, a Stonewall Diversity Champion, a Disability Confident Employer and are working in partnership with GIRES to promote respect for trans people.
The College is a proud signatory to the San-Francisco Declaration on Research Assessment (DORA), which means that in hiring and promotion decisions, we evaluate applicants on the quality of their work, not the journal impact factor where it is published. For more information, see https://www.imperial.ac.uk/research-and-innovation/about-imperial-research/research-evaluation/
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