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Position: Postdoctoral Research Associate, Text Analysis and Causal Inference
Institution: Alan Turing Institute
Location: United Kingdom
Duties: To construct novel large-scale datasets of public interest and to build statistical causal models; To identify and curate data sources that can be used to calibrate/estimate and validate the models; To translate the results from these models into intuitive lessons for policy-makers; To work with other Postdoctoral Research Associates across the Policy Modelling research group and the Public Policy programme; To develop work plans to ensure timely delivery of objectives and assist with quarterly grant reports; To build and maintain relationships with policy-makers and socio-economic modelling groups as part of the research project’s external engagement strategy; To prepare research outputs that are tailored to a diverse audience, ranging from policy-makers to academic researchers, civil society, and the general public; To present papers and research outputs at external conferences and events
Requirements: A PhD or equivalent level of professional experience in any quantitative discipline related to socioeconomic systems, statistics, computer science, or computational social sciences; A solid track record in innovative applications of tools such as natural language processing and do-calculus; Experienced in working with textual large-scale datasets from various sources and formats; Expertise in different text-analysis computational methods such as Natural Language Processing and Topic Modelling; A proven ability to collaborate successfully in a multidisciplinary environment and to manage delivery of projects; A record of scientific publication, which may include journal articles, book chapters, and scientific advisory reports/white papers, that is suitable to career stage and appointment level; Excellent writing skills and a proven ability to communicate research findings to diverse audiences
   
Text: Toggle navigation English (UK) Login Login Password Recovery Postdoctoral Research Associate, Text Analysis and Causal Inference Alan Turing Institute London United Kingdom Research Programmes Share Apply Company Description 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. Position 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. ROLE PURPOSE 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 To construct novel large-scale datasets of public interest and to build statistical causal models. To identify and curate data sources that can be used to calibrate/estimate and validate the models. To translate the results from these models into intuitive lessons for policy-makers. To work with other Postdoctoral Research Associates across the Policy Modelling research group and the Public Policy programme. To develop work plans to ensure timely delivery of objectives and assist with quarterly grant reports. To build and maintain relationships with policy-makers and socio-economic modelling groups as part of the research project’s external engagement strategy. To prepare research outputs that are tailored to a diverse audience, ranging from policy-makers to academic researchers, civil society, and the general public. To present papers and research outputs at external conferences and events. OTHER DUTIES To define the research direction in collaboration with the Head of Computational Social Science Research. To take the lead on writing up findings as they emerge, producing reports, and developing publications in peer reviewed journals, in collaboration with the research team. Requirements A PhD or equivalent level of professional experience in any quantitative discipline related to socioeconomic systems, statistics, computer science, or computational social sciences. A solid track record in innovative applications of tools such as natural language processing and do-calculus. Experienced in working with textual large-scale datasets from various sources and formats. Expertise in different text-analysis computational methods such as Natural Language Processing and Topic Modelling. A proven ability to collaborate successfully in a multidisciplinary environment and to manage delivery of projects. A record of scientific publication, which may include journal articles, book chapters, and scientific advisory reports/white papers, that is suitable to career stage and appointment level Excellent writing skills and a proven ability to communicate research findings to diverse audiences Other information 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. APPLICATION PROCEDURE 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 recruitment@turing.ac.uk. If you are applying for more than one role at the Turing, please note that only one Cover Letter can be visible on your profile at one time. If you wish to apply for multiple roles and do not want to overwrite your existing Cover Letter, please apply for the role using the button below and forward your additional cover letter directly to recruitment@turing.ac.uk quoting the job title. 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. Attachments PDRA-TextAnalysisandCausalInferenceJD.pdf Apply Already registered? Click here Email Password Password Recovery Not registered? Complete the form Apply with Linkedin First Name Surname E-Mail Confirm E-mail Cover Letter File Upload Click here (or drag and drop) to Upload a filepdf, doc, docx, xls, xlsx, ppt, pptx, odt, odp, ods, txt, rtf, jpg, jpeg, gif, png(Max: 2 MB) Add New Cover Letter Media Source Where did you see the advert? Right to Work All appointments are subject to employees having the right to work in the UK to undertake the terms of their employment. In order to establish whether you have eligibility to work in the UK or will require sponsorship please answer the following questions. Are you a UK /European citizen? * Do you hold a valid permission (visa) to work in the UK? If you are not a UK Citizen If you answered 'yes' to the above question, are there any restrictions on the number of hours you may work? If there are restrictions, please provide details. Have you previously been sponsored by an employer to live and work in the UK? If you are not a UK Citizen If you answered 'yes' to the above question, when did your sponsorship/visa lapse or end (please enter the date in the box to the right)? Personal Details Title Known As Initial(s) Enter the initial(s) of your first and any middle name(s). 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