Fully Funded PhD Studentship at Edinburgh Law School 2026: Apply to Research AI, Algorithms and Legal Decision-Making

The University of Edinburgh, through Edinburgh Law School and the Leverhulme Centre for Algorithmic Life, is inviting applications for a fully funded PhD studentship focused on the rapidly evolving relationship between artificial intelligence, algorithmic technologies, law and decision-making.

The opportunity is offered through the “Decisions” Cluster of the Leverhulme Centre for Algorithmic Life, with the successful candidate working with Professor Nehal Bhuta at Edinburgh Law School while also becoming part of the wider interdisciplinary research community of the Leverhulme Centre for Algorithmic Life, based at Durham University.

This PhD opportunity is particularly relevant to applicants interested in how algorithmic and AI technologies are transforming legal decision-making, governance, norms, accountability and responsibility. The research environment encourages collaboration across law, social sciences, humanities and sciences, making it potentially suitable for candidates whose interests extend beyond traditional disciplinary boundaries.

Applications must be submitted by 5pm on 30 September 2026.

About Edinburgh Law School

Edinburgh Law School is part of the University of Edinburgh and provides research opportunities across a broad range of legal and criminological subjects.

The School has an established community of approximately 100 PhD students, creating an environment in which doctoral researchers can participate in the intellectual and academic life of the institution while developing their own independent research.

According to the information provided by Edinburgh Law School, the School was ranked third in the UK for law for the quality and breadth of its research based on the 2021 Research Excellence Framework. The School also reports that 80% of its research outputs were rated as world-leading or internationally excellent, while its research environment received a 100% world-leading rating in the REF2021 exercise.

For prospective doctoral researchers, this provides an opportunity to undertake research within an established academic environment with access to experienced supervisors, research training and a wider community of scholars.

About the Fully Funded PhD Studentship

The studentship is part of the Decisions Cluster of the Leverhulme Centre for Algorithmic Life (CAL).

The successful candidate will be supervised by Professor Nehal Bhuta at Edinburgh Law School and will also be integrated into the wider research environment of the Leverhulme Centre for Algorithmic Life.

The centre takes an interdisciplinary approach to studying algorithmic technologies and their implications for human life, knowledge, perception and action.

One of the central questions guiding the centre’s research is how society should live with and alongside algorithmic technologies. Rather than focusing exclusively on individual technological projects, the centre examines broader and fundamental questions surrounding algorithmic life and how emerging technologies interact with social, legal and human systems.

This makes the studentship particularly relevant at a time when algorithmic systems are increasingly involved in areas such as public administration, welfare, security, military decision-making and other areas where decisions can have significant consequences for individuals and society.

What the Decisions Cluster Researches

The Decisions Cluster, led by Professor Nehal Bhuta, examines how algorithmic technologies are changing the nature and character of decision-making.

The cluster is interested in the interaction between human and algorithmic forms of knowledge and decision-making. As automated and machine-based systems become increasingly integrated into human institutions, questions arise concerning who or what makes decisions, how those decisions are justified, and how responsibility and accountability should be understood.

Research within the cluster considers areas including:

• Algorithmic decision-making.
• Artificial intelligence and law.
• Automated decision systems.
• Legal decision-making.
• Accountability and responsibility.
• Ethical approaches to automated decisions.
• Norms and normativity.
• AI-enabled military and security technologies.
• Welfare and public administration.
• Human-machine interactions in decision-making.
• The changing role of legal concepts in algorithmic environments.

The cluster also seeks to develop new approaches to understanding decisions in an increasingly algorithmic world.

An important aspect of the research involves high-risk domains where automated technologies may influence decisions with substantial social, legal or political consequences. These include areas such as AI-enabled warfare, military technologies, security and public administration.

What the PhD Involves

A PhD at Edinburgh Law School is based on independent research culminating in the production of a substantial doctoral thesis.

The standard Edinburgh Law School PhD involves submitting a thesis of up to 100,000 words. The thesis is expected to constitute an original piece of research that makes a significant contribution to knowledge within the selected field and contains material of a standard suitable for publication.

For this particular studentship, the successful candidate will develop a research project connected to the broad themes of algorithmic technologies, AI, law and decision-making.

The precise research direction is expected to be developed through the application and subsequent academic discussions. Applicants are therefore encouraged to focus their proposal on clearly defined research questions and explain why those questions are important.

Interdisciplinary Research Environment

One of the distinctive features of this PhD studentship is its interdisciplinary character.

The opportunity is not limited to applicants following a conventional legal research pathway. The centre encourages researchers to develop their disciplinary expertise while collaborating with scholars from other academic fields.

Potential applicants may come from backgrounds including:

1. Law and legal theory

   Candidates may be interested in how AI and algorithmic systems are changing legal concepts, legal reasoning, legal practice or legal decision-making.

2. Socio-legal studies

   Researchers may explore how algorithmic systems influence institutions, social relationships, governance and the operation of law.

3. Computer science

   A computer scientist could investigate machine learning and law, including the technical and social development of legal reasoning through algorithmic systems.

4. Sociology

   Applicants with an interest in algorithmic social systems may explore theoretical questions concerning legal concepts, governance and social organisation.

5. Humanities and social sciences

   Researchers from other relevant disciplines may investigate how algorithmic technologies are reshaping concepts of humanity, knowledge, responsibility, authority and decision-making.

The opportunity therefore provides scope for research that crosses traditional academic boundaries.

Funding and Financial Support

The studentship is described as a fully funded PhD opportunity for eligible applicants.

The funding package includes:

• Tuition fees at the UK Home Fee rate.
• An annual stipend in line with UK Research and Innovation rates, currently stated as approximately £21,805 per year.
• Stipend payments made in equal monthly instalments.
• Funding for 3.5 years, subject to satisfactory academic progress.
• Additional research funding to support training and development.

The studentship is specifically restricted to candidates who qualify for Home fee status.

According to the opportunity information, eligible Home-fee candidates include applicants from the United Kingdom, Republic of Ireland, and EU-EEA applicants with Pre-settled status.

Applicants who do not meet the stated Home-fee eligibility requirements should carefully assess their fee status before applying, as the funding provided through this studentship is not described as covering international tuition fees.

Candidate Profile and Academic Requirements

The opportunity is aimed at applicants with a strong academic background and a demonstrable interest in the relationship between law and algorithmic or AI technologies.

Successful candidates are expected to have excellent grades in both undergraduate and postgraduate taught degrees, with at least one of those degrees being in law.

Applicants should also demonstrate a strong interest in questions concerning how AI and algorithmic technologies interact with law.

Relevant interests may include:

• The influence of AI on legal decision-making.
• Algorithmic governance.
• The production and transformation of legal norms.
• Normativity and algorithmic systems.
• Automated decision-making.
• Legal responsibility for decisions made or influenced by algorithms.
• Accountability in AI systems.
• The changing nature of legal practices.
• AI and national legal systems.
• AI and international law.
• AI and global legal structures.
• Algorithmic technologies in high-risk domains.

The School notes that any field of law may potentially be relevant, provided that the proposed research connects appropriately with the themes of the studentship.

English Language Requirements

Applicants must demonstrate proficiency in English, both written and spoken.

For candidates whose first language is not English, the stated requirement is an overall IELTS score of 7.0, with:

• At least 7.0 in writing.
• At least 6.5 in each of the other components.

The University may also accept another recognised English-language qualification at an equivalent standard.

Applicants should therefore ensure that they have appropriate evidence of English-language proficiency where this is required for their application.

Communication and Teamwork Skills

In addition to academic qualifications and research interests, applicants should demonstrate strong communication and teamwork skills.

Although a PhD involves substantial independent research, this particular studentship places the researcher within a wider interdisciplinary environment.

The successful candidate will have opportunities to engage with:

• Other PhD researchers.
• Postdoctoral researchers.
• Academic collaborators.
• Researchers from different disciplines.
• University and research partners.
• External partners in academia.
• Industry partners.
• Charitable organisations.
• Arts-sector organisations.

The ability to communicate research ideas clearly and collaborate effectively across disciplinary boundaries can therefore be important to succeeding within the research environment.

Duration of the Studentship

The studentship is funded for 3.5 years, subject to satisfactory progress.

The precise duration may depend on the training requirements associated with the PhD project and any periods involving placement or collaborative work.

The successful applicant is expected to begin the PhD in either:

• January 2027, or
• September 2027.

Applicants should therefore consider their availability and preferred start period when preparing their application.

How to Apply

Applicants must apply through the University of Edinburgh’s admissions system, EUCLID, and select the PhD Law programme.

An important application instruction is that applicants should enter Professor Nehal Bhuta in the proposed supervisor section of the EUCLID application.

The application must be completed by 5pm on 30 September 2026.

Interviews are expected to take place online in late October 2026.

Applicants should make sure that all required documents are submitted before the deadline because incomplete applications will not progress to the academic selectors.

Required Application Documents

Applicants are expected to provide several documents as part of the application.

1. Degree Transcripts and Certificates

Applicants must submit their academic transcripts and degree certificates.

Where documents are not in English, certified translations should also be provided where applicable.

2. Evidence of English Language Ability

Applicants who are required to demonstrate English proficiency should provide the appropriate English-language qualification or evidence.

The stated IELTS requirement is an overall score of 7.0, including 7.0 in writing and at least 6.5 in each remaining component, unless an equivalent accepted qualification is used.

3. Research Proposal

Applicants must submit a short research proposal of no more than two pages.

The proposal should focus particularly on:

• The research questions the applicant intends to investigate.
• The proposed approach to the research.
• Why the research questions are important.
• How the proposed research relates to the broader themes of the studentship.

A strong proposal should therefore demonstrate a clear understanding of the research problem rather than simply providing a general discussion of artificial intelligence.

4. Curriculum Vitae

Applicants must provide a full CV outlining their academic and professional background, research experience, relevant skills and other information that demonstrates their suitability for doctoral research.

5. Cover Letter

The application also requires a cover letter of no more than two pages.

The cover letter should explain:

• The applicant’s academic and professional background.
• Their suitability for the PhD.
• Their research interests.
• Their interest in the themes of the studentship.
• Relevant experience that demonstrates their ability to undertake the proposed research.

6. Two Recent References

Applicants must provide two recent references.

It is the applicant’s responsibility to ensure that the reference letters are received before the application deadline.

Applicants should therefore contact their referees well in advance rather than waiting until the final days before submission.

Important Document Submission Requirement

The University provides an important instruction concerning the research proposal, CV and cover letter.

These three documents should be uploaded as one combined document within the application portal.

Applicants should therefore check the final uploaded file carefully before submitting the application to ensure that all required sections are included and readable.

The application should also contain all other required supporting documentation, including transcripts, certificates, English-language evidence where applicable and references.

Application Timeline

Key dates and expected stages include:

• Application deadline: 5pm, 30 September 2026.
• Interviews: Expected to take place online in late October 2026.
• Potential PhD start: January 2027 or September 2027.
• Funding duration: 3.5 years, subject to satisfactory progress.

Because the deadline is specific to the hour, applicants should not wait until the final minutes to submit their applications.

Who Should Apply?

This opportunity is particularly relevant to candidates who have a strong academic record and are interested in the intersection of law, artificial intelligence and algorithmic technologies.

Applicants should generally have:

• Excellent undergraduate and postgraduate academic results.
• At least one degree in law.
• A demonstrable interest in AI and algorithmic technologies.
• An interest in how these technologies interact with law and legal decision-making.
• Strong written and oral English skills.
• Strong communication and teamwork abilities.
• An interest in interdisciplinary research.
• The ability to develop a focused and meaningful doctoral research question.
• Eligibility for UK Home fee status under the funding conditions.

The opportunity can potentially accommodate researchers from different disciplinary backgrounds, provided their proposed research connects meaningfully with the themes of algorithmic life, law and decision-making.

Eligible Countries and Fee Status

The funding is not open on an unrestricted worldwide basis.

The studentship is specifically available to applicants who qualify for UK Home fee status.

The information provided identifies eligible candidates as:

• Applicants from the United Kingdom.
• Applicants from the Republic of Ireland.
• EU-EEA applicants with Pre-settled status, where they meet the relevant Home-fee eligibility requirements.

Applicants from other countries should not assume that they qualify for the funding simply because they meet the academic requirements. They should first establish whether they meet the University’s applicable Home-fee status requirements.

Why This Research Area Matters

Artificial intelligence and algorithmic technologies are increasingly influencing decisions that were traditionally made exclusively by humans.

These developments create significant questions for law and society.

For example, when an algorithm contributes to a decision, questions may arise concerning who is responsible for the outcome, how the decision can be challenged, whether the reasoning behind it can be explained, and what legal standards should govern the use of automated systems.

These questions become particularly significant in areas where decisions can affect people’s rights, access to services, security or welfare.

The Decisions Cluster provides an academic environment for investigating these issues at a fundamental level. Researchers can examine not only how algorithmic systems operate but also how concepts such as responsibility, accountability, ethics and legal decision-making may need to evolve alongside technological change.

Research Training and Support at Edinburgh Law School

PhD students at Edinburgh Law School benefit from a structured research environment designed to support both specialist research and broader academic development.

The School’s PhD programme provides:

• Expert supervision in the candidate’s research area.
• Training in legal and criminological research methods.
• Transferable research and professional skills.
• Opportunities for advanced specialist training.
• Interaction with established researchers.
• Participation in a wider scholarly community.
• Opportunities to communicate research findings to different audiences.

The broader Leverhulme Centre environment also offers opportunities for interdisciplinary engagement, allowing doctoral researchers to develop connections beyond their primary academic discipline.

Career Development Opportunities

The PhD is designed not only to develop advanced research expertise but also to contribute to the candidate’s longer-term professional development.

Researchers can benefit from specialist training and engagement with academic and external partners.

The wider Edinburgh Law School PhD community includes graduates who have pursued careers in different areas, including:

• Academic careers in law and criminology.
• Private legal practice.
• National governments.
• International organisations.
• Research and policy-related careers.

For researchers working at the intersection of law and emerging technologies, interdisciplinary experience may also provide a foundation for engaging with organisations and institutions dealing with AI governance, technology policy, regulation and algorithmic decision-making.

How to Prepare a Strong Application

Applicants should begin preparing their application well before the deadline.

A useful preparation process is to:

1. Review the research themes carefully.
   Make sure your proposed topic genuinely connects with algorithmic technologies, law and decision-making.
2. Develop focused research questions.
   The proposal is limited to two pages, so applicants should prioritise clear and researchable questions rather than attempting to cover an overly broad subject.
3. Explain why the research matters.
   Demonstrate the legal, theoretical, social or practical importance of the proposed research.
4. Demonstrate interdisciplinary potential.
   If your research draws on computer science, sociology, political science, philosophy or another field, clearly explain how that discipline contributes to the project.
5. Check your academic eligibility.
   Confirm that you meet the required academic standards and that at least one of your undergraduate or postgraduate taught degrees is in law.
6. Check your fee-status eligibility.
   Because the funding is restricted to Home fee-status candidates, this should be established before submitting the application.
7. Prepare your references early.
   Contact referees in advance and ensure they understand the submission deadline.
8. Combine the required documents correctly.
   The research proposal, CV and cover letter should be uploaded as one combined document.
9. Review the entire application.
   Missing documents can prevent an application from progressing to academic selection.
10. Submit before the deadline.
    The application deadline is 5pm on 30 September 2026.

APPLY HERE

About the Edinburgh Law School PhD Programme

Beyond this specific studentship, Edinburgh Law School offers PhD study across an extensive range of legal and criminological subjects.

The general PhD programme can be studied:

• Full time over three years, or
• Part time over six years, subject to applicable visa restrictions.

Edinburgh Law School accepts applications for PhD study commencing in either September or January.

The School also offers an LLM by Research, providing another route for applicants interested in advanced legal research.

For candidates considering doctoral research outside the specific funded studentship, the School’s research areas can help identify potential supervisors and relevant research communities.

Visit HERE to learn more about the Fully Funded PhD Studentship at Edinburgh Law School 2026.

Deadline

The deadline for the Fully Funded PhD Studentship – Leverhulme Centre for Algorithmic Life, Decisions Cluster is: 5pm on 30 September 2026.

Applicants should ensure that all supporting documents, including references, are received before the deadline.

Application Link

Applicants should submit their application through the University of Edinburgh’s postgraduate admissions system and select the PhD Law programme. In the proposed supervisor section, applicants should enter Professor Nehal Bhuta.

Official information and application details are available through the University of Edinburgh and Edinburgh Law School.

Conclusion

The Fully Funded PhD Studentship at Edinburgh Law School offers an opportunity for eligible Home-fee-status candidates to undertake advanced doctoral research into the relationship between artificial intelligence, algorithmic technologies, law and decision-making.

The studentship provides UK Home tuition fees, an annual stipend of approximately £21,805, additional research and training support, and funding for 3.5 years subject to satisfactory progress. The successful researcher will work with Professor Nehal Bhuta and become part of the interdisciplinary research environment of the Leverhulme Centre for Algorithmic Life.

With research interests spanning algorithmic decision-making, legal responsibility, accountability, AI and law, automated systems and high-risk decision environments, the opportunity is suited to academically strong candidates who want to investigate how emerging technologies are transforming legal and social systems.

Interested applicants should carefully review the academic, English-language and Home-fee-status requirements, prepare the required research proposal and supporting documents, arrange their references early, and submit a complete application through EUCLID before 5pm on 30 September 2026.

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