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Fully Funded AI and Law PhD Studentship

  • Organization: Edinburgh Law School, University of Edinburgh
  • Type: Scholarship
  • Location: United Kingdom
  • Deadline: September 30, 2026
  • Funding: Fully Funded

Edinburgh Law School is offering one fully funded PhD place in the Decisions cluster of the Leverhulme Centre for Algorithmic Life, researching how AI and algorithms are changing legal and public decision-making, from welfare and public administration to military and security. The student is supervised by Professor Nehal Bhuta in Edinburgh and joins the wider PhD and postdoctoral cohort of the Centre, which is based at Durham University. **What you get:** - Tuition fees paid at UK Home fee rates - An annual stipend in line with UKRI rates, approximately £21,805 a year, paid monthly for 3.5 years subject to satisfactory progress - Additional research funding for training and development - Membership of the Leverhulme Centre for Algorithmic Life's interdisciplinary PhD and postdoctoral cohort, with specialist training and engagement with partners in academia, industry, and the charitable and arts sectors **What you'll do:** - Research a PhD thesis on how AI and algorithmic technologies shape, and are shaped by, law and legal decision-making - Work with Professor Nehal Bhuta at Edinburgh Law School while taking part in the Centre's research environment - Collaborate across the social sciences, humanities and sciences **Key dates:** - Applications close 30 September 2026 at 5pm UK time - Online interviews in late October 2026 - PhD starts January 2027 or September 2027 **More information:** - Apply through the University's admissions portal (EUCLID) for the PhD Law programme and enter Professor Nehal Bhuta as proposed supervisor - The research proposal, CV and cover letter must be uploaded as one combined document - Only complete applications go forward to the academic selectors - Questions about PhD applications: phd.law@ed.ac.uk

Apply for Fully Funded AI and Law PhD Studentship

Edinburgh Law School, University of EdinburghScholarship

Fully Funded AI and Law PhD Studentship

Sep 30, 2026 17:00:00 GMT
Opportunity type
Scholarship
Funding
Fully Funded
Location
Global
Deadline
Sep 30, 2026 17:00:00 GMT

About this opportunity

Edinburgh Law School is offering one fully funded PhD place in the Decisions cluster of the Leverhulme Centre for Algorithmic Life, researching how AI and algorithms are changing legal and public decision-making, from welfare and public administration to military and security. The student is supervised by Professor Nehal Bhuta in Edinburgh and joins the wider PhD and postdoctoral cohort of the Centre, which is based at Durham University.

What you get:

  • Tuition fees paid at UK Home fee rates
  • An annual stipend in line with UKRI rates, approximately £21,805 a year, paid monthly for 3.5 years subject to satisfactory progress
  • Additional research funding for training and development
  • Membership of the Leverhulme Centre for Algorithmic Life's interdisciplinary PhD and postdoctoral cohort, with specialist training and engagement with partners in academia, industry, and the charitable and arts sectors

What you'll do:

  • Research a PhD thesis on how AI and algorithmic technologies shape, and are shaped by, law and legal decision-making
  • Work with Professor Nehal Bhuta at Edinburgh Law School while taking part in the Centre's research environment
  • Collaborate across the social sciences, humanities and sciences

Key dates:

  • Applications close 30 September 2026 at 5pm UK time
  • Online interviews in late October 2026
  • PhD starts January 2027 or September 2027

More information:

  • Apply through the University's admissions portal (EUCLID) for the PhD Law programme and enter Professor Nehal Bhuta as proposed supervisor
  • The research proposal, CV and cover letter must be uploaded as one combined document
  • Only complete applications go forward to the academic selectors
  • Questions about PhD applications: phd.law@ed.ac.uk

Who can apply

  • Must be eligible for UK Home fee status: candidates from the UK, the Republic of Ireland, and EU or EEA nationals with Pre-settled status
  • Excellent grades in both an undergraduate and a taught postgraduate degree, at least one of which must be in law
  • PhD Law entry standard: a UK 2:1 honours degree in law, arts or social sciences and a UK Masters with at least 60% in the taught section and 65% or more in the dissertation, or international equivalents
  • A background or clear demonstrable interest in how AI and algorithmic technologies shape and are shaped by law and legal decision-making
  • English proficiency: where English is not the first language, IELTS 7.0 overall with 7.0 in writing and 6.5 in each other component, or equivalent
  • Submit all degree transcripts and certificates, English language evidence where applicable, a research proposal of up to 2 pages, a full CV and a cover letter of up to 2 pages, and two recent references received by the deadline

AI Verification

✓ AI Verified

Our AI read the official sources and cross-checked the key facts. Here is what held up, and what it could not confirm.

We could not fully verify this organization or all of its details. Check it independently on the official website before you apply, and never share sensitive personal or financial information until you are sure a request is genuine.

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LOT Verification ScoreSolid

Cross-checked 11 of 12 key facts

Confirmed Our best read Not stated

Good to know

  • +Home tuition fees, a stipend of about £21,805 a year for 3.5 years, and research funding
  • +Supervised by Professor Nehal Bhuta within the Leverhulme Centre for Algorithmic Life
  • +No fee to apply to the PhD programme

Worth checking yourself

  • !Closes 5pm UK time on 30 September 2026
  • !Only for applicants eligible for UK Home fees: the UK, Ireland, and EU or EEA nationals with Pre-settled status
  • !You also need to apply to the PhD Law programme itself, and the Law School recommends doing that well before the studentship deadline
  • !You need a strong postgraduate degree as well as an undergraduate one

Sources checked

OPopportunitiesforyouth.orgOfficialLAlaw.ed.ac.ukApplySTstudy.ed.ac.ukOfficialEDed.ac.ukOfficialLAlaw.ed.ac.ukApply

LOT finds and checks opportunities from public sources. Always confirm details on the organiser’s own page before applying.

Fully Funded AI and Law PhD Studentship
Sep 30, 2026 17:00:00 GMT