Accelerator Fellowship Programme, University of Oxford, UK

Postdoctoral Research Assistant Position in University of Oxford, UK

Accelerator Fellowship Programme: The Institute for Ethics in AI is inviting applications for its Accelerator Fellowship Programme, aimed at addressing the ethical challenges posed by artificial intelligence. This initiative focuses on real-world impact through collaboration between academia and industry.

Designation

Fellow

Research Area

  • AI and Creativity
  • AI in Care, Mental Health and Healthcare
  • AI and Humanity
  • AI, Law and Policy

Location

The fellowship can be pursued remotely or through an in-person stay at the University of Oxford, UK.

Eligibility/Qualification

  • Master’s degree or equivalent professional experience (minimum 5 years in a relevant field).
  • Commitment to ethical and responsible AI.
  • Ability to contribute to real-world impact through cross-sector collaboration.

Job Description

Fellows will engage in independent, impact-driven projects that align with the program’s core themes. Responsibilities include:

  • Managing their own research schedule.
  • Producing outputs discussed at the onset of the fellowship.
  • Participating in seminars, public discussions, and collaborative events.

How to Apply

  1. Complete the application form (link provided on the official website).
  2. Email a single PDF (maximum 10MB) containing:
  • One-page project statement detailing focus, desired outcomes, and societal impact.
  • Motivation letter.
  • Two-page CV.
  • Current passport copy.
    Use the naming convention: Surname_Name_Month_Year_AFP application, and send to aiethicsafp@philosophy.ox.ac.uk with the subject line ‘AFP Fellowship Application’.

Last Date for Apply

  • 2025/2026 Fellowships: Applications open on 18 November 2025 and close on 10 January 2026.
  • 2026/2027 Fellowships: Applications open on 16 May 2026 and close on 13 June 2026.

This fellowship represents a unique opportunity for professionals and academics committed to advancing ethical AI through impactful research and collaboration.

Link

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