The Alan Turing Institute is the UK’s national institute for data science and artificial intelligence. The Institute is named in honour of the scientist Alan Turing and its mission is to make great leaps in data science and artificial intelligence research in order to change the world for the better.
SHOCKS AND RESILIENCE RESEARCH PROJECT
Measuring policy impact in the Covid-19 crisis and building resilience against future shocks.
The Covid-19 crisis has highlighted how vulnerable societies and governments are to shocks. This vulnerability is exacerbated by the propensity to design policy for narrow siloes relating to singular policy areas and government departments, without adequate consideration of the interdependencies between them and the interconnected nature of local and global societies. The pandemic has brought into focus that resilience in one policy area (e.g. health) can come at the cost of resilience in another (e.g. the economy). The overall aim of this large-scale, 2-year research project is to develop a better understanding of resilience in interconnected health, social, and economic systems and to use this understanding to identify robust policy measures.
The project brings together multidisciplinary expertise from across the Turing community, including in health, public policy, economics, and urban analytics. We are hiring nine postdoctoral research associates for this project, who will work collaboratively to develop a rigorous understanding of societal responses to shocks and a clear strategy for how to engender policy resilience. To achieve our aims, we will require reliable, consistent, real-time, fine-grained data sources, as well as integrative, highly-granular models that bring together policy areas and cross disciplinary boundaries.
The Shocks and Resilience project consists of the following five work packages, and we are hiring nine postdoctoral research associates (PDRAs) in total:
We recommend reading the project’s website and all the job descriptions related to this project. Taking the time to do so will ensure that you are applying for the post that most closely matches your interests and experience.
This project is supported entirely by public funds, through Wave 1 of the UK Research and Innovation Strategic Priorities Fund, under EPSRC Grant EP/T001569/1.
Work package 2: Learning causality and dynamics in interconnected systems (x2 PDRAs)
This work package focuses on developing new theory, methods, tools, and practices for understanding causality and dynamics in complex interconnected systems under conditions of uncertainty. A crucial part of this package is discovering ways to allow for feedback that is able to adapt and update as new data arrives. We aim to develop rigorous new statistical theory as well as computational methodology that allows for the incorporation of physical, economic, and biological principles into machine learning algorithms.
We are looking to recruit two postdoctoral research associates to work collaboratively: a Statistics Postdoctoral Research Associate, who will work on developing rigorous new statistical theory; and a Machine Learning Postdoctoral Research Associate, who will work on developing computational methodology that allows incorporation of physical, economic or biological principles (or prior knowledge) into machine learning algorithms and/or distilling such principles directly from data.
DUTIES AND AREAS OF RESPONSIBILITY
If appointed at a Senior Postdoctoral Research Associate level, the post-holder will have additional responsibilities, such as:
TERMS AND CONDITIONS
These full-time posts are offered on a fixed-term basis for a period of two years. The annual salary is £35,000 to £41,000 (dependent on skills and experience) plus excellent benefits, including flexible working and family friendly policies, https://www.turing.ac.uk/work-turing/why-work-turing/employee-benefits.
Candidates who are appointed at a Senior Postdoctoral Research Associate level will have a salary within the range of £42,000 to £49,000 per annum.
Candidates who have not yet been officially awarded their PhD will be appointed as Research Assistant within a salary range of £32,000 to £34,000 per annum.
This job description is written at a specific time and is subject to change as the demands of the Institute and the role develop. The role requires flexibility and adaptability, and the post holder needs to be aware that they may be asked to perform tasks and be given responsibilities not detailed in this job description.
If you are interested in this opportunity, please click the apply button below. You will need to register on the applicant portal and complete the application form including your CV, covering letter that outlines how you meet the job specifications; a list of publications as well as a sample piece of writing (a journal article, conference proceeding, book chapter, or equivalent); and contact details for two referees. If you have questions about the role or would like to apply using a different format, please contact us on 020 3862 3575 or email firstname.lastname@example.org.
CLOSING DATE FOR APPLICATIONS: 6 December 2020
EQUALITY, DIVERSITY AND INCLUSION
The Alan Turing Institute is committed to creating an environment where diversity is valued, and everyone is treated fairly. In accordance with the Equality Act, we welcome applications from anyone who meets the specific criteria of the post regardless of age, disability, ethnicity, gender reassignment, marital or civil partnership status, pregnancy and maternity, religion or belief, sex and sexual orientation.
Reasonable adjustments to the interview process can also be made for any candidates with a disability.
Please note all offers of employment are subject to continuous eligibility to work in the UK and satisfactory pre-employment security screening which includes a DBS Check.
Full details on the pre-employment screening process can be requested from HR@turing.ac.uk.