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.
The Public Policy research programme works alongside policy-makers to explore how data-driven public service provision and policy innovation might help to solve long running societal problems. We also work hand-in-hand with public sector organisations and citizens to develop practice-based ethical standards for the responsible development and use of data science and AI. Our dynamic group works closely with the UK government, as well as international organisations like the United Nations, the Council of Europe, and the European Commission.
As part of its growing leadership in data science and AI for the public sector, the Public Policy programme is strengthening its analytic capabilities by setting up a substantial programme of research in modelling for policy. This programme of research concentrates on studying pressing societal issues that could benefit from policy interventions and on constructing robust, empirically-informed models to identify the most beneficial policy measures. Our aim is to build tools and models that government partners can use to create better public policies.
We are looking to hire an outstanding researcher with a background at the intersection of text analysis (e.g., natural language processing), large-scale data, and causal inference (e.g., do-calculus and directed-acyclic graphs) to support various research projects in the area of modelling for policy. The post-holder will join the Public Policy programme and will be a part of a multidisciplinary team of data scientists and modellers focused on developing a new programme of research in policy modelling.
The aim of this role is to construct novel large-scale datasets of public interest (e.g., news corpus linked to macroeconomic data, social-media content linked to government documents, open-spending data linked to development indicators, etc.), and to build statistical causal models that can complement other streams of work in the area of modelling for policy. Given the growing international reputation of The Alan Turing Institute, knowledge in one or more major languages, other than English, is desirable. The candidate will have experience in sourcing different types of large-scale datasets (this may include non-structured ones), as well as in pre-processing, analysing, and specifying and estimating statistical causal models through methods such as do-calculus. The PDRA will also engage with government stakeholders, so having some experience regarding the viability and limitations of policy interventions is ideal. They will report to the Public Policy programme’s Head of Computational Social Science Research and will work closely with the other members of the research team.
DUTIES AND AREAS OF RESPONSIBILITY
This is a full-time post on a 2-year fixed term contract length. The annual salary is £37,000 to £42,000 (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 have not yet been officially awarded their PhD will be appointed as Research Assistant with a salary of £34,500 per annum.
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 and covering letter. If you have questions about the role or would like to apply using a different format, please contact us on 020 3862 3575 or 0203 862 3340, or email firstname.lastname@example.org.
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CLOSING DATE FOR APPLICATIONS: Sunday 17 October 2021 at 23:59.
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.
We are committed to building a diverse community and would like our leadership teal to reflect this. We therefore welcome applications from the broadest spectrum of backgrounds.
Reasonable adjustments to the interview process will be made for any candidates with a disability.
Please note all offers of employment are subject to obtaining and retaining the right 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.
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