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Research Associate, Survey Research

Closing date: 
Wednesday, 9 February 2022

The Alan Turing Institute

The Alan Turing Institute is seeking a Research Associate, Survey Research to play an important role in a six-month research project to study national attitudes to current and future uses of data science and AI. Focusing on the UK, the research will inform strategic priorities for the country’s research and development efforts, and will be used as evidence to underpin the development of the Institute’s long term public engagement strategy. The post-holder will be responsible for pursuing this research to ensure that the outputs inform the development of the Institute’s public engagement strategy.

This is a post-doctoral level appointment, suitable for an early career researcher with solid theoretical foundations in survey research methods as well as experience designing survey experiments and analysing the resulting data. We will consider applicants who have recently finished or are in the final stages of their PhDs. The successful candidate will join the Public Policy Programme and will be a part of a large multidisciplinary team focused on helping the public sector take advantage of the latest generation of data-intensive technologies.

We would appreciate it if you shared the below link (with info on the role and how to apply) with relevant networks. Relevant networks on this occasion, means the following: Individuals who hold a PhD (or close to completion) in a social science discipline that provides strong theoretical foundations in survey research methods and data analysis. As well as experience in designing survey experiments and analysing the resulting data, together with solid methodological foundations in experimental design, sampling and measurement theory, conjoint analysis, and causal inference.

Below is a link to the advert, job description and application form for candidates:
https://cezanneondemand.intervieweb.it/turing/jobs/research_associate_survey_research_19503/en/

About us

The Cambridge Centre for Data-Driven Discovery (C2D3) brings together researchers and expertise from across the academic departments and industry to drive research into the analysis, understanding and use of data science and AI. C2D3 is an Interdisciplinary Research Centre at the University of Cambridge.

  • Supports and connects the growing data science and AI research community 
  • Builds research capacity in data science and AI to tackle complex issues 
  • Drives new research challenges through collaborative research projects 
  • Promotes and provides opportunities for knowledge transfer 
  • Identifies and provides training courses for students, academics, industry and the third sector 
  • Serves as a gateway for external organisations 

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