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Research Application Manager, DataDriven Climate Tech

Closing date: 
Sunday, 30 January 2022

The Alan Turing Institute

A Research Application Manager (RAM) at the Turing builds and nurtures the connections with users of research outputs and brings back the user perspective to researchers and research engineers. We anticipate that the postholder will need to embody core values of legacy, adaptability, and collaboration, in addition to their commitment to equity and inclusion principles as described in the Turing’s Values,

RAMs work in a dedicated team focused on ensuring that research outputs such as open source tools, protocols, and modelling frameworks are used successfully and sustainably by external stakeholders. As part of this broad mandate, the postholder will work on initiating new links between ClimateTech startups and the research community.

This is a new team at the Institute and the postholder will need to be someone who takes the initiative and thrives when given a large degree of autonomy and flexibility. The role has considerable similarity to that of a product manager in a tech firm, but with significant adjustments to update it for the research context. The skills required are likely a combination of technical acumen and service delivery experience. RAMs will work on multiple projects concurrently, and each project will be different in different ways. The postholder will need to understand how their adaptability is a strength that will inspire team members, without undermining a determined perseverance on delivering useful outputs.

This full-time post is offered on a 2-year, fixed term contract basis. The annual salary is £46,700, plus excellent benefits, including flexible working and family friendly policies.

 

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

https://cezanneondemand.intervieweb.it/turing/jobs/research_application_manager_datadriven_climatetech_18743/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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