PGR supervisor & student codes, guidance & regulations

There are a range of codes, guidelines, and regulations relevant to PGR supervision. Those immediately pertinent to supervisory practice are collected here.

Code of Practice for Supervisors and Research Students

All supervisors should be familiar with the Code of practice for supervisors and research students. This is updated annually and covers roles and responsibilities, annual review, absences and concessions, thesis submission and examination and the student-supervisor relationship. 

Code of practice for supervisors and research students

Postgraduate assessment regulations

Current postgraduate research assessment regulations and previous academic years' assessment regulations.

Postgraduate assessment regulations

PGR student policies, regulations and guidance

University academic policies, regulations and guidance on postgraduate research assessment, thesis submission and information relevant during the period of study.

PGR student policies, regulations and guidance

Intellectual Property (IP) Guidance

University of Edinburgh IP Policies for staff and students

In addition to the above IP Policies for staff and students, members of the Doctoral College developed specific resources for PGR supervisors and PhD students to discuss and better understand IP.

Should you require these documents in a different format, please contact phd.supervisors@ed.ac.uk and we can provide that for you.

Artificial Intelligence (AI) guidelines

The University of Edinburgh provides specific guidance for Generative AI use to staff and PGR students.

Generative AI Guidelines for Staff

Generative AI Guidelines for PGR Students

College-level PGR and supervision guidance & resources

Each College provides local-level guidelines and support for PGR supervisors and students.

College of Science and Engineering (CSE)

College of Arts, Humanities and Social Sciences (CAHSS)

College of Medicine and Veterinary Medicine (CMVM)

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