Scholarships

UK Students and EU Students Satisfying the Residency Requirement

The Department of Computing has six competitive EPSRC DTP studentships available for suitably qualified students who also meet the EPSRC residency criteria starting in October 2026. More details for EU nationals on how Brexit affected residency criteria can be found on the UKCISA website.

A studentship covers home fees, a bursary of about £22,780 and £1,000 towards travel and equipment per annum for 3.5 years. We expect students to have completed, or expect to complete before October 2026, either a first class Masters MEng degree, or a first class Bachelors degree and distinction MSc, in an appropriate subject.

The competitions are open to all eligible candidates who otherwise do not have guaranteed funds and who have applied before the last departmental deadline. The allocation is usually made by the last two weeks of June. There is no need to formally apply, as we will automatically consider you if you meet the above criteria.

We are committed to equality and valuing diversity. We are also an Athena SWAN Silver Award winner, a Stonewall Diversity Champion, a Two Ticks Employer, and are working in partnership with GIRES to promote respect for trans people. We encourage applicants from underrepresented backgrounds to apply.

Fees: Home fees fully covered 
Bursary: £22,780 per year

The Department of Computing will award up to four doctoral teaching scholarships for PhD applicants starting in 2026/27. The period of the scholarship is four years six months.

For home fee and international students the scheme covers full fees and a full PhD scholarship of approximately £30,100 (reviewed annually) per annum in total. At least one doctoral teaching scholarship is made available to overseas students.

In addition to academic excellence, applicants should have a strong commitment to teaching in higher education. They will be expected to build up a portfolio comprising a wide variety of teaching experiences in the department, for example supporting the ongoing development of modules and their coursework exercises, as well as running tutorial and laboratory sessions. They will also have access to educational resources offered by the Graduate School and Educational Development Unit at Imperial.

It is expected that the teaching activities will be equivalent to approximately 15 months full-time spread over the time of the scholarship. Exposure to these teaching experiences will be foundational in developing an academic track-record for independently seeking post-doctoral employment in the higher education sector.

The shortlisting process is in three phases: first, the candidate must be accepted for a PhD in the Department of Computing with a named supervisor, following the normal application guidelines; second candidates holding a PhD offer should contact the Teaching Scholarship Coordinator (see below) and prepare a short teaching statement document (details provided at the point of application); third a shortlist of accepted candidates is made and shortlisted candidates will normally be invited for an interview (*). It is recommended that applicants apply by one of these two deadlines: February 15th or April 15th. 

How to Apply:

Please contact the Teaching Scholarship Coordinator: Dr. Mark Wheelhouse.

*For already qualified applicants (i.e. you have completed an MEng or MSc degree) who apply early and are accepted with a named supervisor the interview date may be earlier.

We are committed to equality and valuing diversity. We are also an Athena SWAN Silver Award winner, a Stonewall Diversity Champion, a Two Ticks Employer, and are working in partnership with GIRES to promote respect for trans people. We encourage applicants from underrepresented backgrounds to apply.

The College offers a range of awards for PhD students. Please see the student finance website for further details. 

50 research scholarships are now being offered by the college for highly talented students. For more information please visit the President’s PhD Scholarships page. Please note that, when the departmental deadline is earlier than the President's scholarship deadline, then you are asked to apply by the departmental deadline to ensure full consideration at the following President's scholarship round.

Note that these are very competitive and the Department is able to nominate up to two students for each President's scholarship funding round. 

In addition, the Chinese Scholarship Council and Imperial College London have created a scholarship programme (CSC Imperial) to enable talented Chinese students to undertake a PhD programme at Imperial. Visit the CSC Imperial Scholarships page for more information. The department can also provide support letters for a direct application to the CSC scholarship from China. To do so, you will need first to be accepted by a supervisor in the department. Please note that neither Imperial nor the department are involved in this scheme and therefore the only financial support available is the one offered by the CSC funder.

Further information

• Scholarship search tool
• Non-Imperial College Scholarships
• Visit the postgraduate scholarships website

We are committed to equality and valuing diversity. We are also an Athena SWAN Silver Award winner, a Stonewall Diversity Champion, a Two Ticks Employer, and are working in partnership with GIRES to promote respect for trans people. We encourage applicants from underrepresented backgrounds to apply.

The UKRI Centre for Doctoral Training in Artificial Intelligence for Healthcare based at the  Department of Computing focusses on training AI PhDs and Clinical PhD Fellows in healthcare applications of core AI. Our large and diverse PhD cohorts benefit from an integrated training programme which offers a unique PhD training and inspiring research environment. Our CDT students will be the next-generation researchers and innovators in AI, driving knowledge and application of AI to healthcare.

For details on our AI4Health CDT programme, how to apply and the funding opportunities, please check our Centre website.
Entry requirements and eligibility criteria are detailed on our website.

The CDT offers fully funded studentships for regular PhDs and also clinical PhD fellows, typically starting every year in October. A studentship can provide support for at least 3 years. The studentship covers a tax-free stipend at standard UKRI rate, the tuition fees (Home/UK Fee level) including Writing-up fee in the fourth year. The stipend rates usually increase slightly each year in line with inflation rates. Our CDT students are strongly encouraged to participate in leading AI conferences to understand the state-of-the-art AI research and network with their global peers; this is normally also supported by the CDT funding, subject to approvals.

Our Centre values diversity and equality and is committed to providing an inclusive environment in which all students can thrive, and we particularly encourage applications from candidates who identify themselves as women, and/or be black and/or minority ethnic. Our students will be registered in the Department of Computing, which is an Athena SWAN Bronze Award winner, a Stonewall Diversity Champion, a Two Ticks Employer, and working in partnership with GIRES to promote respect for trans people.

AI for Healthcare CDT Admissions ai4health-admissions@imperial.ac.uk

Untaxed bursary of £19,668 per annum (2022/23 figure including London weighting plus home/overseas tuition fees)

Applications are invited for 2 PhD students in Human-Robot Interaction under the supervision of Dr Nicole Salomons, as part of the Department of Computing and the exciting new Imperial-X initiative.

One of the studentships will be focused on robotic tutoring systems. The second studentship will focus on building long-term in-home social robotic systems.

Ideal candidates for the PhD studentships will have an interest and an existing background in: Human-Robot Interaction, User Modelling, Artificial Intelligence, applied Machine Learning, Robotics, and/or Intelligent Tutoring Systems.

The Department of Computing is a leading department of Computer Science in the UK and the world and has consistently been awarded the highest research rating. In the 2021 REF assessment, the Department claimed the top spot for computer science and informatics. Overall, Imperial College London ranked first in the UK for research outputs, first in the UK for research environment, and first for research impact among Russell Group universities.

Applicants are expected to have a First Class or Distinction Masters level degree, or equivalent, in a relevant scientific or technical discipline, such as computer science or mathematics. Applicants must be fluent in spoken and written English.

The position is fully funded, covering tuition fees, travel funds and a stipend/bursary. The position is available to home and international students.

How to apply

To apply for this position, please follow the application guidelines at: http://www.imperial.ac.uk/computing/prospective-students/courses/phd/phd-application-guidelines/

In the application form, please write “IX HRI PhD Studentships” in the “Proposed Research Topic” field, and “Nicole Salomons” in the “Proposed Research Supervisor” field.

Early applications are encouraged. Informal inquiries about this position are also encouraged and can be directed to Nicole Salomons (n.salomons@imperial.ac.uk), using “IX HRI PhD Applications” as the subject line. For further information see nicolesalomons.com

This position will be primarily based at the Imperial College London White City campus in central London. Applicants are advised to visit http://www.imperial.ac.uk/computing/prospective-students/courses/phd/ for general information on becoming a PhD student in the Department of Computing.

We are committed to equality and valuing diversity. We are also an Athena SWAN Silver Award winner, a Stonewall Diversity Champion, a Two Ticks Employer, and are working in partnership with GIRES to promote respect for trans people. We encourage applicants from underrepresented backgrounds to apply.

Studentship: Untaxed bursary of £22,780 per annum (2025/26 figure including London weighting plus fees)

Applications are invited for a PhD student in human-centred 3D computer vision and generative models under the supervision of Dr Riza Alp Guler.

The PhD project will explore human-centric computer vision methods for Extended Reality (XR), combining advances in accurate human reconstruction with generative models of animatable 3D humans. The student will investigate how to robustly capture and represent bodies, hands, and gestures in real time, and how to leverage breakthroughs in generative AI and 3D geometry to create realistic, personalized digital humans. This work will contribute to cutting-edge research at the intersection of 3D vision, learning, and graphics, with direct applications to immersive platforms of the future.

Ideal candidates for the PhD studentships will have an interest and an existing background in computer vision, deep learning, generative models, 3D geometry, and computer graphics. Strong programming skills (e.g., in Python and PyTorch) are also highly desirable.

The Department of Computing is a leading department of Computer Science in the UK and the world and has consistently been awarded the highest research rating. In the 2021 REF assessment, the Department claimed the top spot for computer science and informatics. Overall, Imperial College London ranked first in the UK for research outputs, first in the UK for research environment, and first for research impact among Russell Group universities.

Applicants are expected to have a First Class or Distinction Masters level degree, or equivalent, in a relevant scientific or technical discipline, such as computer science or mathematics. Applicants must be fluent in spoken and written English.

The position is fully funded, covering tuition fees, travel funds and a stipend/bursary. The position is available to home and overseas students.

How to apply

To apply for this position, please follow the application guidelines.

In the application form, please write 3D Computer Vision and Generative Models for Digital Humans in the “Proposed Research Topic” field, and Riza Alp Guler in the “Proposed Research Supervisor” field.

Early applications are encouraged. Informal inquiries about this position are also encouraged and can be directed to Riza Alp Guler. For further information see https://alpguler.com

This position will be based at the South Kensington campus in central London. Applicants are advised to visit http://www.imperial.ac.uk/computing/prospective-students/courses/phd/ for general information on becoming a PhD student in the Department of Computing.

We are committed to equality and valuing diversity. We are also an Athena SWAN Silver Award winner, a Stonewall Diversity Champion, a Two Ticks Employer, and are working in partnership with GIRES to promote respect for trans people. We encourage applicants from underrepresented backgrounds to apply.

Studentship: Untaxed bursary of £22,780 per annum (2025/26 figure including London weighting plus home fees)

Applications are invited for a PhD student in the intersection of Embodied AI and 3D Vision under the supervision of Dr Rolandos Alexandros Potamias.

The PhD project will investigate the development of foundational models for embodied intelligence, with a particular focus on dexterous hand-object and scene interactions. The student will investigate how to combine advances in 3D human-centred vision, world modelling and robotics to enable embodied agents to learn general-purpose manipulation skills that can adapt across objects, tasks, and contexts. Topics of interest include learning from large-scale multi-modal data, robust perception of human hand-object interactions, foundation models for multi-fingered robotic manipulation and cross-embodied learning. Students will work on both the development of novel methods and models, and their real-world deployment.

The student will be part of the i-BUG Lab (https://ibug.doc.ic.ac.uk/people) and will actively collaborate with fellow researchers in cutting-edge topics in the intersection of Computer Vision, Foundational Models and Robotics. The lab fosters an open, supportive environment where students contribute to shared projects whilst also developing their independent research directions.

Ideal candidates for the PhD studentships will have an interest and an existing background in:

• A strong foundation in 3D computer vision and deep learning.
• Proficient programming skills and modern deep learning libraries like PyTorch.
• Experience with generative models, robotics and reinforcement learning.
• (Optional): A track record of research experience, such as publications in relevant venues, is highly desirable.

The Department of Computing is a leading department of Computer Science in the UK and the world and has consistently been awarded the highest research rating. In the 2021 REF assessment, the Department claimed the top spot for computer science and informatics. Overall, Imperial College London ranked first in the UK for research outputs, first in the UK for research environment, and first for research impact among Russell Group universities.

Applicants are expected to have a First Class or Distinction Masters level degree, or equivalent, in a relevant scientific or technical discipline, such as computer science or mathematics. Applicants must be fluent in spoken and written English.

The position is fully funded, covering tuition fees, travel funds and a stipend/bursary. The position is available to home and international students.

How to apply

To apply for this position, please follow the application guidelines.

In the application form, please write Embodied AI for Dexterous Manipulation and 3D Vision in the “Proposed Research Topic” field, and Rolandos Alexandros Potamias in the “Proposed Research Supervisor” field.

Early applications are encouraged. Informal inquiries about this position are also encouraged and can be directed to Dr Rolandos Alexandros Potamias. For further information see rolpotamias.github.io

This position will be based at the South Kensington campus in central London. Applicants are advised to visit http://www.imperial.ac.uk/computing/prospective-students/courses/phd/ for general information on becoming a PhD student in the Department of Computing.

We are committed to equality and valuing diversity. We are also an Athena SWAN Silver Award winner, a Stonewall Diversity Champion, a Two Ticks Employer, and are working in partnership with GIRES to promote respect for trans people. We encourage applicants from underrepresented backgrounds to apply.

Studentship: Untaxed bursary of £19,668 per annum (2021/22 figure including London weighting plus home/overseas fees)

Applications are invited for a PhD student in computational optimisation, focusing on applications in machine learning, under the supervision of Calvin Tsay (https://www.imperial.ac.uk/people/c.tsay).

This project studies mathematical formulations and algorithms for optimisation over trained machine learning (ML) models. In contrast to optimisation schemes for training the parameters of ML models, optimisation over the inputs of a pre-trained model can be used to investigate extreme behaviour. Applications include embedding ML models in larger decision-making problems and finding adversarial inputs. This project can involve both theoretical developments, such as new formulations, and practical contributions, such as incorporating new developments into software implementations. 

Potential collaborators include the Computational Optimisation Group (https://optimisation.doc.ic.ac.uk), the OMLT team (https://github.com/cog-imperial/OMLT), and the Sargent Centre for Process Systems Engineering (https://www.imperial.ac.uk/process-systems-engineering).

Ideal candidates for the PhD studentships will have an interest or existing background in: applied mathematics, mixed-integer programming, mathematical optimisation, algorithms, and/or machine learning. Exact experience is not necessary, but a strong mathematical background is desirable.

The Department of Computing is a leading department of Computer Science in the UK and the world and has consistently been awarded the highest research rating. In the 2021 REF assessment, the Department claimed the top spot for computer science and informatics. Overall, Imperial College London ranked first in the UK for research outputs, first in the UK for research environment, and first for research impact among Russell Group universities.  

Applicants are expected to have a First Class or Distinction Masters level degree, or equivalent, in a relevant scientific or technical discipline, such as computer science or mathematics. Applicants must be fluent in spoken and written English.

The position is fully funded, covering tuition fees, travel funds and a stipend/bursary. The position is available to home and overseas students.

How to apply

To apply for this position, please follow the application guidelines at: http://www.imperial.ac.uk/computing/prospective-students/courses/phd/phd-application-guidelines/

In the application form, please write Optimisation and Machine Learning in the “Proposed Research Topic” field, and Calvin Tsay in the “Proposed Research Supervisor” field.

Early applications are encouraged. Informal inquiries about this position are also encouraged and can be directed to Calvin Tsay (c.tsay@imperial.ac.uk). For further information see https://www.doc.ic.ac.uk/~ctsay/research/

This position will be based at the South Kensington campus in central London.

Applicants are advised to visit http://www.imperial.ac.uk/computing/prospective-students/courses/phd/ for general information on becoming a PhD student in the Department of Computing.

We are committed to equality and valuing diversity. We are also an Athena SWAN Silver Award winner, a Stonewall Diversity Champion, a Two Ticks Employer, and are working in partnership with GIRES to promote respect for trans people. We encourage applicants from underrepresented backgrounds to apply.

Studentship: Untaxed bursary of £22,780 per annum (2025/26 figure including London weighting plus home fees)

Applications are invited for a PhD student in “Generative Models and Sampling” under the supervision of Dr. Joey Bose.

The goal of this studentship is to contribute to the development of fundamental methodology on generative models. Topics of interest include designing faster sampling strategies for diffusion and flow matching-based models, inference-time scaling, designing new forms of generative modelling algorithms altogether, and discrete generative models such as discrete diffusion and flow matching.

There is also a substantial interest in applying and developing new tools from generative models to the general problem of sampling from unnormalized densities (Boltzmann densities). These may include bridging ideas from the MCMC literature, such as Parallel tempering, Replica exchange, and combining them with modern diffusion-based samplers. Students in this space will also be able to apply their research to high-impact application domains such as sampling conformational states of molecular systems like proteins, and computational chemistry.

Ideal candidates for the PhD studentships will have an interest and an existing background in: Deep Learning, Diffusion, and Flow-based generative models, discrete generative models like Autoregressive models, molecular system modelling, and some knowledge of MCMC. Candidates should be highly proficient in modern deep learning libraries like PyTorch or Jax and be proficient at software engineering and negotiating complex and large code bases, as well as multi-GPU training of models. Finally, note that students applying will be expected to work in a collaborative environment with impetus to join and build collaborations in addition to driving their own research agenda.

The Department of Computing is a leading department of Computer Science in the UK and the world, and has consistently been awarded the highest research rating. In the 2021 REF assessment, the Department claimed the top spot for computer science and informatics.

Overall, Imperial College London ranked first in the UK for research outputs, first in the UK for research environment, and first for research impact among Russell Group universities.

Applicants are expected to have a First Class or Distinction Master's level degree, or equivalent, in a relevant scientific or technical discipline, such as computer science or mathematics. Applicants must be fluent in spoken and written English.

The position is fully funded, covering tuition fees, travel funds, and a stipend/bursary. The position is available to home or international students.

How to apply

To apply for this position, please follow the application guidelines.

In the application form, please write “Generative Models and Sampling Phd Studentships” in the “Proposed Research Topic” field, and Joey Bose in the “Proposed Research Supervisor” field.

Early applications are encouraged. Informal inquiries about this position are also encouraged and can be directed to Dr. Joey Bose. For further information, see https://joeybose.github.io/

This position will be based at the South Kensington campus in central London. Applicants are advised to visit http://www.imperial.ac.uk/computing/prospective-students/courses/phd/ for
general information on becoming a PhD student in the Department of Computing.

We are committed to equality and valuing diversity. We are also an Athena SWAN Silver Award winner, a Stonewall Diversity Champion, a Two Ticks Employer, and are working in partnership with GIRES to promote respect for trans people.

Studentship: Untaxed bursary of £22,780 per annum (2025/26 figure including London weighting plus home fees)

Applications are invited for a PhD student in “Generative Models and Sampling” under the supervision of Dr. Joey Bose.

The goal of this studentship is to contribute to the development of fundamental methodology on generative models in the AI4Science space. Topics of interest include designing multi-modal generative models for proteins and molecular systems and scaling them with post-training methodology designed for scientific applications.

This studentship will also allow the exploration of generative models in application domains such as accelerating Molecular dynamics, Boltzmann generators, and Boltzmann sampling. Such high-impact domains have the potential to revolutionize computational drug discovery and computational chemistry. Students will also contribute to the literature on using Generative models to answer fundamental scientific questions of interest, such as computing free energy differences of molecular systems, estimating binding affinity/energy in proteins, and computing autocorrelation functions for chemical reactions.

Ideal candidates for the PhD studentships will have an interest and an existing background in: Deep Learning, Diffusion, and Flow-based generative models, discrete generative models like Autoregressive models, molecular system modelling, and some knowledge of MCMC. Candidates should be highly proficient in modern deep learning libraries like PyTorch or Jax and be proficient at software engineering and negotiating complex and large code bases, as well as multi-GPU training of models. In addition, ideal candidates should have existing knowledge or interest in application domains such as datasets of interest and domain knowledge of proteins.

Finally, note that students applying will be expected to work in a collaborative environment with impetus to join and build collaborations in addition to driving their own research agenda.

The Department of Computing is a leading department of Computer Science in the UK and the world and has consistently been awarded the highest research rating. In the 2021 REF assessment, the Department claimed the top spot for computer science and informatics.

Overall, Imperial College London ranked first in the UK for research outputs, first in the UK for research environment, and first for research impact among Russell Group universities.

Applicants are expected to have a First Class or Distinction Master's level degree, or equivalent, in a relevant scientific or technical discipline, such as computer science or mathematics. Applicants must be fluent in spoken and written English.

The position is fully funded, covering tuition fees, travel funds, and a stipend/bursary. The position is available to home or international students.

How to apply

To apply for this position, please follow the application guidelines.

In the application form, please write “Generative Models and Sampling Phd Studentships” in the “Proposed Research Topic” field, and Joey Bose in the “Proposed Research Supervisor” field.

Early applications are encouraged. Informal inquiries about this position are also encouraged and can be directed to Dr. Joey Bose. For further information, see https://joeybose.github.io/

This position will be based at the South Kensington campus in central London. Applicants are advised to visit http://www.imperial.ac.uk/computing/prospective-students/courses/phd/ for
general information on becoming a PhD student in the Department of Computing.

We are committed to equality and valuing diversity. We are also an Athena SWAN Silver Award winner, a Stonewall Diversity Champion, a Two Ticks Employer, and are working in partnership with GIRES to promote respect for trans people. We encourage applicants from underrepresented backgrounds to apply.