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The Alan Turing Institute: Community Manager, AI for Science and Government

Closing date: 
Sunday, 1 August 2021

The Alan Turing Institute

The Alan Turing Institute is seeking a Community Manager, AI for Science and Government who will create, nurture and protect the conditions required for successful technical communication across the diverse and distributed ASG projects. This will involve coordinating and facilitating the production of a series of community-written ASG white papers that distill important principles from the range of ASG research and collectively articulate the ASG vision to stakeholders including policy makers in national and local governments, domain expert practitioners such as clinicians or engineers, and members of the public.

The Tools, Practices and Systems (TPS) programme at the Turing represents a cross-cutting set of initiatives which seek to build open source infrastructure that is accessible to all, and to empower a global, decentralised network of people who connect data with domain experts.

The role requires basic coding skills in any programming language and an understanding of the importance of good practices for producing reliable software and reproducible analyses (e.g. version control, issue tracking, automated testing, package management, literate analysis tools such as Jupyter and Rmarkdown.

This is an exciting opportunity to join the UK’s national institute for data science and artificial intelligence.

Please find below a link to the advert, job description and application form.

https://cezanneondemand.intervieweb.it/turing/jobs/community_manager__ai_for_science_and_government_15292/en/

Should you have any queries, please email recruitment@turing.ac.uk.

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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