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Software Sustainability Institute: Fellowship Programme 2023

Closing date: 
Monday, 3 October 2022

Software Sustainability Institute

The Institute’s Fellowship Programme provides funding for individuals who want to improve how research software is done in their domains, fields and/or areas of work. Being a Fellow also helps individuals develop skills and knowledge in their area of software sustainability, empowers them to speak about software sustainability issues and network with like-minded individuals from a wide variety of backgrounds. 

Successful applicants will be allocated £3,000 to spend over 15 months beginning 1 January 2023. The funding is flexible to support activities that are beneficial to both the Fellow and the Institute. For example, the funding can be used to:

  • Organise and run workshops.
  • Facilitate software sustainability sessions at conferences.
  • Nurture or contribute to communities of practice.
  • Attend conferences and events.
  • Collaborate with other Fellows.
  • Run or participate in policy-related activities.
  • Host, organise or teach at training events, such as through The Carpentries.
  • Run or attend other events that improve the research software space.

As part of the Fellowship Programme 2023, we will offer up to three places for successful international applicants (who will be based outside the UK or without a formal affiliation with a UK-based institution or office). This is a continuation of the pilot from 2022 to help us identify and address challenges for opening and scaling up the Programme internationally in the future.

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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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