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Research Project Manager, AI for Science and Government (ASG)

Closing date: 
Wednesday, 2 February 2022

The Alan Turing Institute

The Alan Turing Institute has ten Programmes of scientific research in key areas of AI and data science, each led by a Programme Director. There are also a small number of significant programmes of activity which sit across several research Programmes.

This role sits within the Institute’s Programme Management directorate, which is responsible for the management and delivery of these programmes in support of the senior academic Programme Directors and Principal Investigators. The team oversees millions of pounds of data science and AI research, training and knowledge exchange programme initiatives in these programmes, ensuring they are managed to business requirements, specification, time and budget.

AI for Science and Government (ASG)

At the end of 2018, the Alan Turing Institute was awarded a five-year £38.8 million research programme through UKRI’s Strategic Priorities Fund. AI for Science and Government (ASG) is delivered in partnership with the Engineering and Physical Sciences Research Council (EPSRC) and in collaboration with a number of other research councils.

The research activities will support UK priority areas which are nested within existing Institute programmes and aims to deploy AI and data science through six themes, as well through cross-theme activity:

Themes

  • Digital Twins: Urban Analytics underpinning the planning system;
  • Digital Twins: Complex Engineering Systems in industry;
  • Health: revolutionising health services through precision medicine;
  • Criminal Justice System, laying foundations for AI in government departments and agencies;
  • AI for Science: delivering AI into national labs;
  • Tools, Practices and Systems, bringing best practice into domain areas.

Cross theme projects

  • Shock and resilience – Measuring policy impact in the COVID-19 crisis and building resilience against future shocks
  • Ecosystem of Digital Twins – Brining together multidisciplinary expertise in urban analytics, complex systems engineering and economics
  • Environment and sustainability – Using data science and AI to tackle environmental and climate challenges

https://cezanneondemand.intervieweb.it/turing/jobs/research_project_manager_ai_for_science_and_government_asg_19339/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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