Centre for Doctoral Training in Designing Responsible Natural Language Processing PhD with Integrated Study
Awards: PhD with Integrated Study
Study modes: Part-time, Full-time
Funding opportunities
Placements/internships
The Centre for Doctoral Training (CDT) in Designing Responsible Natural Language Processing (NLP) aims to develop doctoral graduates that represent a new paradigm of interdisciplinary NLP researcher; Individuals who can harness the full potential of NLP-based systems and create richer interactions between humans and AI. Our training will give students foundational knowledge across five fundamental skills domains, along with expertise in at least one of these areas. The training programme aims to create an NLP practitioner culture of responsibility, with graduates who are confident in combining technical expertise with:
ethics
governance
consideration of users and use contexts
Students will train together in cohorts formed from various disciplines and background experiences. The students will be supported to collaborate on “team science” applied NLP projects. Through these projects, the students will also get the chance to work with some of our 70+ partners in the following sectors:
industry
public
non-profit
research
As part of the structure of our PhD with integrated studies, all students must study taught courses whilst completing the research elements of the traditional PhD programme. We have designed the programme to be flexible in the way credits are acquired. However, all students must successfully complete 180 taught credits over the first 3 years, plus the equivalent of 3 years of PhD research, spread over the 4-year programme. Out of the 180 credits, you will achieve 110 via mandatory courses that all CDT students take, and the remaining 70 credits from optional courses at the appropriate SCQF level.
Find out more about compulsory and optional courses
We link to the latest information available. Please note that this may be for a previous academic year and should be considered indicative.
Award | Title | Duration | Study mode | |
---|---|---|---|---|
PhD with Integrated Study | Designing Responsible Natural Language Processing | 4 Years | Full-time | Programme structure 2024/25 |
Every student will have a placement, no more than 3 months long, during Years 2 or 3. The placements will involve students working in our partner’s teams, gaining hands-on industry experience and using skills developed through their training. We expect around two-thirds of placements to be with industry or in international research labs.
Our students will gain the skills, knowledge and experience to study and design real-world applications of NLP in an interdisciplinary training environment, hosted by the Edinburgh Futures Institute (EFI).
The training programme brings together world-leading researchers at our University to supervise students and guide them in their training and learning. Their expertise covers a range of subjects including:
informatics
design
linguistics
speech science
psychology
law
philosophy
information science
digital humanities
As well as the formal credit-bearing courses all CDT students will be enrolled on, we have a variety of other training initiatives and activities within the CDT to:
enhance the learning opportunities for students
build links between students across different cohorts
personalise student’s training plans
Examples include:
entrepreneurship and innovation-oriented training
the Annual CDT Festival where students present their work
annual Partners' Summit
placements with partners
policy workshops and fellowships
responsible NLP speakers and masterclasses
support for student-led training
Students will be involved in the vibrant world-class and interdisciplinary research community at the EFI, with access to cutting-edge computational, design, fabrication and testing facilities across:
the School of Informatics
Edinburgh College of Art
the EPCC
This includes access to multiple state-of-the-art GPU clusters that enable work with large language models.
We expect many students will seek diverse career pathways after their PhD such as in:
academia
industrial research and development
entrepreneurship and social innovation
creating start-ups
Each cohort of students will participate in Fast-Track Impact training for PhD students in Year 1.
Students will also be able to participate in various events designed to foster both an intra- and an entrepreneurial mindset, delivered in collaboration with:
and
Additionally, the Bayes Centre and Edinburgh Innovations will provide students with access to University support to facilitate the commercialisation of their research. The support will include:
mentoring
access to business advisors
incubators
accelerators
a network of investors and peers
[Updated 07 October 2024 to remove reference to the Bridge course]
These entry requirements are for the 2025/26 academic year and requirements for future academic years may differ. Entry requirements for the 2026/27 academic year will be published on 1 Oct 2025.
A UK 2:1 honours degree, or its international equivalent, in an area related to the topic of the CDT, for example informatics, computer science, AI, cognitive science, mathematics, design, linguistics, psychology, philosophy, law, and social and political science.
International qualifications
Check whether your international qualifications meet our general entry requirements:
English language requirements
Regardless of your nationality or country of residence, you must demonstrate a level of English language competency which will enable you to succeed in your studies.
English language tests
We accept the following English language qualifications at the grades specified:
- IELTS Academic: total 6.5 with at least 6.0 in each component. We do not accept IELTS One Skill Retake to meet our English language requirements.
- TOEFL-iBT (including Home Edition): total 92 with at least 20 in each component. We do not accept TOEFL MyBest Score to meet our English language requirements.
- C1 Advanced (CAE) / C2 Proficiency (CPE): total 176 with at least 169 in each component.
- Trinity ISE: ISE II with distinctions in all four components.
- PTE Academic: total 65 with at least 59 in each component. We do not accept PTE Academic Online.
- Oxford ELLT: 7 overall with at least 6 in each component.
Your English language qualification must be no more than three and a half years old from the start date of the programme you are applying to study, unless you are using IELTS, TOEFL, Trinity ISE or PTE, in which case it must be no more than two years old.
Degrees taught and assessed in English
We also accept an undergraduate or postgraduate degree that has been taught and assessed in English in a majority English speaking country, as defined by UK Visas and Immigration:
We also accept a degree that has been taught and assessed in English from a university on our list of approved universities in non-majority English speaking countries (non-MESC).
If you are not a national of a majority English speaking country, then your degree must be no more than five years old at the beginning of your programme of study.
Find out more about our language requirements:
Academic Technology Approval Scheme
If you are not an EU, EEA or Swiss national, you may need an Academic Technology Approval Scheme clearance certificate in order to study this programme.
The CDT programme is fully funded and covers a stipend, tuition fees (both UK and overseas) and research and travel grant for 4 years, or 6 years for part-time study.
The funding does NOT cover visa fees and IHS for international students; these costs have to be covered by the student.
Award | Title | Duration | Study mode | |
---|---|---|---|---|
PhD with Integrated Study | Designing Responsible Natural Language Processing | 6 Years | Part-time | Tuition fees |
PhD with Integrated Study | Designing Responsible Natural Language Processing | 4 Years | Full-time | Tuition fees |
By applying to the CDT programme you automatically apply for the full funding. There is no need to apply for any additional sources.
Search for scholarships and funding opportunities:
- CDT Manager, Stefania Pasare
- Phone: +44 (0)131 651 7112
- Contact: responsiblenlp@ed.ac.uk
- CDT Academic Director, John Vines
- Phone: +44 (0)131 650 9979
- Contact: responsiblenlp@ed.ac.uk
- CDT in Designing Responsible Natural Language Processing
- School of Informatics
- 10 Crichton Street
- Central Campus
- Edinburgh
- EH8 9AB
- Programme: Centre for Doctoral Training in Designing Responsible Natural Language Processing
- School: Informatics
- College: Science & Engineering
Applying
Select your programme and preferred start date to begin your application.
PhD with Integrated Study in Designing Responsible Natural Language Processing - 6 Years (Part-time)
PhD with Integrated Study in Designing Responsible Natural Language Processing - 4 Years (Full-time)
Programme start date | Application deadline |
---|---|
8 September 2025 | 9 January 2025 |
We strongly recommend you submit your completed application as early as possible, particularly if you are also applying for funding or will require a visa. We may consider late applications if we have places available.
You must submit two references with your application.
You must submit an application via the EUCLID application portal and provide the required information and documentation.
Your application needs to include your CV and a statement of intent and alignment with the CDT.
The programme website provides further application details:
Find out more about the general application process for postgraduate programmes:
Further information
- CDT Manager, Stefania Pasare
- Phone: +44 (0)131 651 7112
- Contact: responsiblenlp@ed.ac.uk
- CDT Academic Director, John Vines
- Phone: +44 (0)131 650 9979
- Contact: responsiblenlp@ed.ac.uk
- CDT in Designing Responsible Natural Language Processing
- School of Informatics
- 10 Crichton Street
- Central Campus
- Edinburgh
- EH8 9AB
- Programme: Centre for Doctoral Training in Designing Responsible Natural Language Processing
- School: Informatics
- College: Science & Engineering