Departmental and College scholarships

EPSRC doctoral training studentships

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 2019.

A studentship covers home fees, a bursary of about £16,777 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 2019, either a first class Masters MEng degree or a first class Bachelors degree and distinction MSc, in an appropriate subject.

For students who qualify for EU fee status, but who do not meet the residency criteria, the department has a number of fees only studentships that will pay fees and £1,000 towards travel and equipment per annum for 3.5 years.

The competitions are open to all eligible candidates who otherwise do not have guaranteed funds and who have applied before the end of May 2019. 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.

Please note: the EU residency requirement is detailed on the EPSRC website.

Fees: £4,260 per year 
Bursary: £16,777 per year

Doctoral teaching scholarships

The Department of Computing will award up to three doctoral teaching scholarships for PhD applicants starting in October 2019 or exceptionally in April 2020. The period of the scholarship is four years six months.

For home fee and EU fee students the scheme covers full fees and a full PhD scholarship of approximately £24,000 per annum in total. For overseas fee students the scheme covers a full PhD scholarship and the home portion of the fees. The overseas fee portion of the fees will have to be provided by the student or an external funding body.

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. As well as completing their PhD scholars will complete the Certificate of Learning and Teaching offered by the Educational Development Unit of Imperial College. It is expected that the teaching activities will be equivalent to approximately 15 months full-time spread over the time of the scholarship and including work for the Certificate of Learning and Teaching.

The shortlisting process is in two phases: first the candidate must be accepted for a PhD with a named supervisor; second a shortlist of accepted candidates is made and shortlisted candidates will normally be invited for interview during June. (*) It is recommended that applicants apply well before the deadline. 

How to Apply:

Please contact Dr. Krysia Broda kb@imperial.ac.uk, Amani El-Kholy a.o.el-kholy@imperial.ac.uk or Dr. Madasar Shah madasar.shah@imperial.ac.uk.

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

President's PhD Scholarships

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

50 new scholarships are now being offered by the college for highly talented students. For more information please visit the President’s PhD Scholarships page. Note that these are very competitive and the Department is likely to only award two scholarships.

The Chinese Scholarship Council and Imperial College London have created a scholarship programme to enable talented Chinese students to undertake a PhD programme at Imperial. Visit the CSC Imperial Scholarships page for more information.

Further information

Area specific scholarships

PhD scholarships x2 - The Hamlyn Centre

The Hamlyn Centre was established for developing safe, effective and accessible imaging, sensing and robotics technologies that can reshape the future of healthcare for both developing and developed countries. Focusing on technological innovation but with a strong emphasis on clinical translation and direct patient benefit with a global impact, the centre is at the forefront of research in imaging, sensing and robotics for addressing global health challenges associated with demographic, environment, social and economic changes.

In addition to its core research activities, the Centre offers comprehensive PhD and MRes programmes for researchers with a strong technical or clinical background. These programmes are designed to develop cutting edge, disruptive technologies and blue-sky ideas; yet will be appropriate and accessible to all countries for addressing different needs of the healthcare challenges with a common ground for technological innovations.

We currently have 2 fully-funded PhD studentships working in medical robotics, imaging, and pervasive sensing to start from the next academic year. The PhD programme is open to UK/EU and overseas students. The funding is for three years and covers both fees and living expenses. Research progress is assessed each year and continuing receipt of funds will depend on satisfactory academic progress.

Applicants should usually have a good 1st class undergraduate degree (or equivalent) in a relevant subject and preferably also a good Masters degree in the rel evant area for their PhD.  Applicants must be fluent in spoken and written English.

Applications must include the following:

  • A 2- 3 page research statement that describes what you see as an  interesting research issue relating to this studentship and what relevant experience you have
  • A detailed CV
  • Transcripts of all degree results
  • 2 recent letters of references

Please email your application to Miss Raphaele Raupp with the subject title Hamlyn PhD studentship application.’  Informal enquiries are also welcome before formal application.

2 x PhD positions in micro-robotics

With recent major capital investment of EPSRC to the Hamlyn Centre in establishing a state-of-the art micro-engineering facility for medical robotics, applications are invited for 2 new PhD positions in Micro-robotics. With recent emphasis clinically on improved surveillance and earlier diagnosis, an increasing proportion of procedures performed will aim to target smaller lesions that are more amenable to minimally invasive procedures.

This has called for the development of miniaturised robots for surgery, and targeted therapy with micro-instruments and smart actuators with integrated sensing and imaging, supported by advances in materials, micro-fabrication and micro-machining, as well as rapid prototyping technologies.

You will be joining a multidisciplinary team working on the design of new micro-robots under normal microscope or SEM guidance for tissue/cell manipulation, targeted therapy and drug delivery. Applicants should usually have a good undergraduate degree (2:1 and above) in engineering, mathematics or physics and preferably also a good Masters degree in multidisciplinary research. We are particularly interested in applicants with a strong technical background in any of the following areas:

  • Mechatronics, design, modelling and simulation;
  • Material science and additive manufacturing;
  • Computer vision and visual servoing in robotic navigation;
  • Applicants with a strong cell biology and analytical/computational skills are also encouraged to apply. All applicants must be fluent in spoken and written English.

Applications must include the following:

  • A 2 page research statement that describes; i) What you see as an interesting research issue; ii) An outline of the objectives and methodology for the research and; iii) What relevant experience you have
  • A detailed CV
  • Transcripts of all degree results
  • The contact details for two referees


Please email your application to r.raupp@imperial.ac.uk with the subject title "PhD in Micro-robotics”.

2 x PhD positions in cooperative control in robotics

Applications are invited for two new PhD positions in medical robotics with emphas is on hands-on cooperative control and learning by demons tration. Current advances in medical robotics research have enabled the performance of complex procedures through the development of compliant robotic platforms designed to seamlessly interact with the user.

You will be joining a dynamic team working on the design of new medical robotics platforms that can learn seamlessly from the human, whether for complex bimanual surgical tasks or assembling/manufacturing precision medical devices such as patient specific stent grafts.

Applicants should usually have a good undergraduate degree (2:1 and above) in engineering, mathematics or physics and preferably also a good Masters degree in multidisciplinary research. We are particularly interested in applicants with a strong technical background in any of the following areas:

  • Robotics, control and human-robot interaction;
  • Learning, motion planning and vision;
  • Mechatronics and medical instrumentation.

You will need strong analytical skills, programming background and experience with real-time systems. All applicants must be fluent in spoken and written English.

Applications must include the following:

  • A 2 page research statement that describes; i) What you see as an interesting research issue; ii) An outline of the objectives and methodology for the research and; iii) What relevant experience you have
  • A detailed CV
  • Transcripts of all degree results
  • The contact details for two referees

Please email your application to r.raupp@imperial.ac.uk with the subject title ‘PhD in Cooperative Robot Control”.

PhD position in Big Data Management: Auto-tuning for modern hardware

Studentship: Untaxed bursary of £16,553 per annum (2017/18 figure including London weighting plus home/EU fees)

The Department of Computing is a leading department of Computer Science among UK Universities, and has consistently been awarded the highest research rating. In the 2014 REF assessment, The Department was ranked third (1st in the Research Intensity table published by The Times Higher), and was rated as "Excellent" in the previous national assessment of teaching quality.

Applications are invited for a PhD student in Big Data Management with focus on Auto-tuning for modern hardware under the supervision of Dr. Holger Pirk.

The user of modern hardware such as GPUs, FPGAs or RDMA for data processing promises orders of magnitude better performance than state-of-the-art techniques. However, it is not trivial: making effective use of such hardware involves the analysis of the hardware, the development of accurate cost models as well as new (often massively parallel) algorithms and processing strategies. Once these new components are in place, it is hard to decide when to use which due to the proliferation of hardware designs.

The goal of this project is to develop an approach that automatically determines the right data processing strategy for a given hardware architecture -- ideally without any human input. There are a number of approaches to this problem, ranging from accurate modeling and optimization to machine learning. There will be freedom for an excellent candidate to explore the problem space according to their specific interests.

To apply for this position, you will need to have a strong background in at least one of the following areas: data management, compilers, computer architecture or high-performance computing.

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 EU students.

How to apply

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

In the application form, please write Big Data Autotuning in the “Proposed Research Topic” field, and Dr. Holger Pirk in the “Proposed Research Supervisor” field.

Early applications are encouraged. Informal inquiries about this position are also encouraged and can be directed to Dr. Holger Pirk. For further information see https://www.doc.ic.ac.uk/~hlgr/research/openings.

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

Applicants are advised to visit the PhD homepage 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.

PhD position in Big Data Management: Data Compression

Studentship: Untaxed bursary of £16,553 per annum (2017/18 figure including London weighting plus home/EU fees)

The Department of Computing is a leading department of Computer Science among UK Universities, and has consistently been awarded the highest research rating. In the 2014 REF assessment, The Department was ranked third (1st in the Research Intensity table published by The Times Higher), and was rated as "Excellent" in the previous national assessment of teaching quality.

Applications are invited for a PhD student in Big Data Management with focus on Data Compression under the supervision of Dr. Holger Pirk. 

Lossless compression plays an important role in managing the increasingly large datasets that arise in modern business, science and public services. The benefits of compression are twofold: on the one hand, it reduces storage and bandwidth costs by reducing data volume. On the other hand, it can benefit performance significantly, as demonstrated in numerous database systems and HPC applications. However, compression strategies are usually "baked into the application", i.e., developed, implemented and tuned for it. This is a labour and cost intensive process. 

The goal of this project is to explore the use of compression in a wide range of data-intensive applications, develop new programming models for the use of compression in big-data programs (distributed and single-node) and optimize program execution. Given the wide range of applications, there is significant freedom for an excellent student to explore applications ranging from embedded systems to big-data clusters -- from event processing to machine learning -- from compilers to database systems.

To apply for this position, you will need to have a strong background in at least one of the following areas: data management, compilers, computer architecture or high-performance computing. 

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 EU students.

How to apply

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

In the application form, please write Big Data Compression in the “Proposed Research Topic” field, and Dr. Holger Pirk in the “Proposed Research Supervisor” field. Early applications are encouraged. Informal inquiries about this position are also encouraged and can be directed to Dr.  can be directed to Dr. Holger Pirk. For further information see https://www.doc.ic.ac.uk/~hlgr/research/openings.

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

Applicants are advised to visit the PhD homepage 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.

PhD in High-Performance Data Management/Data Management on Modern Hardware

Studentship: Untaxed bursary of £16,553 per annum (2017/18 figure including London weighting plus home/EU fees) 

High-Performance Data Management enables a landscape of new and exciting applications such as interactive data exploration, realtime stream processing or predictive analytics. Applications are found in a variety of fields such as computer games, finance, sensor data processing, data science and many more. 

To help shape current and future trends in High-Performance Data Management, applications are invited for a PhD student under the supervision of Dr. Holger Pirk. 

Candidates will need a strong background in computer science, ideally with some experience in one or more of the following areas: 

- data management, 
- compilers, 
- computer architecture, 
- hardware acceleration (GPUs, FPGAs, Xeon Phi, ...) or 
- high-performance computing. 

We will provide an exciting research environment in a diverse, internationally well-connected group. This includes collaborative visits to research groups abroad as well as support for industry and academic internships. 

Applications can be submitted throughout the year using the college application system 
(see http://www.imperial.ac.uk/computing/prospective-students/phd/phd-application-guidelinesfor guidelines). 
Please, state High-Performance Data Management in the title and select "Dr. Holger Pirk" as the "Proposed Research Supervisor". 

Please include a statement in your application covering your research interests and expertise. Also consider attaching a report on a project you have conducted (e.g., thesis or extended coursework description). 

Feel free to informally contact Dr. Holger Pirk if you have questions. 

About the Supervisor: 

Holger is a Lecturer in the Department of Computing at Imperial College London. Before that, he was a Postdoc in the Database group at MIT. He spent his PhD years in the Database Architectures group at CWI in Amsterdam resulting in a PhD from the University of Amsterdam. 

About the Department: 

The Department of Computing is a leading department of Computer Science among UK Universities, and has consistently been awarded the highest research rating. In the 2014 REF assessment, The Department was ranked third (1st in the Research Intensity table published by The Times Higher), and was rated as "Excellent" in the previous national assessment of teaching quality. 

PhD position in Computer Systems for Data Science

Studentship: Untaxed bursary of £16,777 per annum (2018/19 figure including London weighting plus home/EU fees)

The Department of Computing is a leading department of Computer Science among UK Universities, and has consistently been awarded the highest research rating.

In the 2014 REF assessment, the Department was ranked third (1st in the Research Intensity table published by The Times Higher), and was rated as "Excellent" in the previous national assessment of teaching quality.

Applications are invited for one fully funded PhD position in Computer Systems under the supervision of Dr. Jana Giceva. We welcome applications from students who are excited to do research in the broad area of computer systems and who want to design and build systems that support Big Data and data science workloads and that run efficiently on modern and future hardware platforms. We encourage applications from highly motivated students who want to influence how future systems are designed across the system stack: from hardware/software co-design, to operating systems and data processing engines.

To apply for this position, you will need to have a solid background in at least one of the following areas: databases, operating systems, computer architecture, performance analysis, or some prior experience in working with hardware accelerators. You will also need experience in building and working with large software systems, and strong background in system programming.
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 EU students.

How to apply

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

In the application form, please write ‘Computer Systems for Data Science’ in the “Proposed Research Topic” field, and ‘Dr. Jana Giceva’ in the “Proposed Research Supervisor” field. Early applications are encouraged. Informal inquiries about this position are also encouraged and can be directed to Dr. Jana Giceva.

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

Applicants are advised to visit the PhD section 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.

PhD position in Generative Modeling for Program Optimization

Studentship: Untaxed bursary of £16,553 per annum (2017/18 figure including London weighting plus home/EU fees) 

In Artificial Intelligence, Generative Modeling is used to generate images, sounds, texts and other artifacts of creativity. While the results are not yet indistiguishable from those made by a human, they demonstrate what is possible. 

In this project, we aim to apply Generative Modeling for the purpose of program optimization. Based on research conducted at MIT, we have a data processing framework that allows humans to write highly optimized but still correct programs that exploit modern hardware such as GPUs, vectorization units and fast memory subsystems. Now, we want to train a machine to "creatively" invent new optimizations to accelerate the program without sacrificing correctness. 

For the purpose of this project, applications are invited for a PhD student under the supervision of Dr. Holger Pirk. 

Candidates will need a strong background in computer science, ideally with some experience in one or more of the following areas: 

- data management, 
- compilers, 
- computer architecture, 
- hardware acceleration (GPUs, FPGAs, Xeon Phi, ...), 
- games programming, 
- high-performance computing. 
- machine learning or statistical modeling. 

We will provide an exciting research environment in a diverse, internationally well-connected group. This includes collaborative visits to research groups abroad as well as support for industry and academic internships. 

Applications can be submitted throughout the year using the college application system 
(see http://www.imperial.ac.uk/computing/prospective-students/phd/phd-application-guidelinesfor guidelines). 
The deadline for admission in 2018 is March 23. 

Please, state "Generative Modeling for Program Optimization" 
in the title and select "Dr. Holger Pirk" as the "Proposed Research Supervisor". 

Feel free to informally contact Dr. Holger Pirk if you have questions. 

About the Supervisor: 

Holger is a Lecturer in the Department of Computing at Imperial College London. Before that, he was a Postdoc in the Database group at MIT. He spent his PhD years in the Database Architectures group at CWI in Amsterdam resulting in a PhD from the University of Amsterdam. 

About the Department: 

The Department of Computing is a leading department of Computer Science among UK Universities, and has consistently been awarded the highest research rating. In the 2014 REF assessment, The Department was ranked third (1st in the Research Intensity table published by The Times Higher), and was rated as "Excellent" in the previous national assessment of teaching quality. 

PhD position in program analysis and specification

The Department of Computing, and specifically Professor Philippa Gardner, are looking for a PhD student to start in October 2018 to join her research group on program analysis and specification, as part of the analysis and verification theme at Imperial.

Her group is involved with a a wide range of theoretical and practical projects on the analysis and verification of concurrent and web programs. Possible projects include:

  • a theoretical project on reasoning about either concurrent algorithms (see MFPS’15 tutorial paper) or distributed systems (a new topic for me since Andrea Cerone became my RA;
  • a more practical project on using our concurrent specification of POSIX file systems for verification and testing (see Ntzik’s PhD thesis);
  • several projects associated with the JaVert verification toolchain (see POPL’18 paper); and
  • several projects associated with test generation from language semantics (see POPL’14 paper) or library axiomatic specifications.

A successful UK student will probably be funded through the standard Departmental competition for funds. A successful EU/overseas student will probably be funded by a combination of Departmental funding and my funding.

The deadlines to apply for a PhD position in the Department are 19 January 2018 and 23 March 2018. The Department advises all students requiring funding to apply by the January deadline, although there may still be some funding available for applications received after January. Further details can be found at the in the Department’s PhD application page.