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The Alan Turing Institute - Research Project Manager in Data-Driven ClimateTech

Closing date: 
Friday, 14 January 2022

The Alan Turing Institute is seeking a Research Project Manager in Data-Driven ClimateTech, in the Programme Management Directorate.

The post holder will work with the Programme Director, Programme Manager, academic researchers and industry partners to coordinate each research project and workstream from concept to implementation. This will include defining project milestones, financial planning, contract negotiation, recruitment and ensuring effective governance and reporting. In addition to their project management responsibilities, the post-holder will work with industry partners and stakeholders to ensure the successful delivery of a broad range of complementary workstreams. This will include arranging events and workshops that bring together academic researchers, government and industry, and managing stakeholder relationships together with colleagues.

The Research Project Manager will need to liaise closely with Institute research and operations staff remotely, in London, and at university and research centre partners in order to perform their role. They will also be expected to liaise, and build strong relationships, with our industry partners, affiliate partners and funding bodies.

The post holder will be instrumental in ensuring that Data-Driven ClimateTech programme runs smoothly and delivers on its ambitious aims to contribute the Institute’s expertise to the ClimateTech ecosystem.

This role reports to the Programme Manager, Data-Driven ClimateTech

This is a full-time, permanent opportunity.

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

https://cezanneondemand.intervieweb.it/turing/jobs/research_project_manager_datadriven_climatetech_18709/en/

Closing date: January 14 2022
Should you have any queries, please email recruitment@turing.ac.uk.

 

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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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