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 2020.

A studentship covers home fees, a bursary of about £17,009 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 2020, 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 2020. 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: £17,009 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 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

EPSRC CDT scholarships in smart medical imaging

The EPSRC Centre for Doctoral Training (CDT) in Smart Medical Imaging at King's College London and Imperial College London continues the successful partnership of two world-class institutions, to provide PhD training within an embedded hospital environment in Central London, with state-of-the-art research laboratories across the Universities, and in close interaction with the healthcare industry.

The CDT in Smart Medical Imaging will adopt a flexible training approach. However, most students will normally follow a 1+3 pathway (1-year MRes at King's, followed by 3-year PhD at King's or Imperial). Over the four years of study within the CDT the aim is to equip students with the skills and knowledge that will enable them to explore a range of career options in research and academia.

The CDT offer fully funded PhD studentships, starting every year in September, including generous research consumables and conference travel, with exposure to international imaging labs and healthcare industry placements.

For more information about the CDT programme and how to apply, please check the CDT website.

UKRI CDT scholarships in safe and trusted artificial intelligence

Imperial College London’s Department of Computing is participating in the UKRI Centre for Doctoral Training (CDT) in Safe and Trusted Artificial Intelligence (STAI), an initiative set up to train the first generation of AI scientists and engineers in methods of safe and trusted AI.

The CDT is hosted jointly by King’s College London and Imperial College London, on a 2:1 split, and will fund up to 15 studentships (of around £17,000) each year (depending on the support available).

Applications are now open for October 2020 entry, with envisaged cut-off dates for applications on Friday 8 November 2019, Monday 6 January 2020, Monday 2 March 2020 and, subject to confirmation, Monday 20 April 2020

For more information about the STAI CDT and the application process please consult the How to Apply page.

Note: An Information Session will be held in February, at Imperial College London, details to be confirmed. Email stai-cdt-icl@imperial.ac.uk  for more information, with 'info-session' in the subject.

Area specific scholarships

2 x PhD positions in mobile systems security

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 a PhD student in mobile systems security under the supervision of Dr. Soteris Demetriou.

The rapid evolution of mobile devices comes at the expense of their security and their users’ privacy. The successful candidate will systematically analyze the security of popular smartphone and IoT systems (smarthome systems, connected and autonomous vehicles, voice assistants). The goal is to improve the security of real-world, widely used systems such as the Android OS, Samsung Smartthings and the Amazon Echo among others; and propose, implement and evaluate novel, effective and efficient methodologies and systems that are robust against sophisticated adversaries aiming to compromise users’ confidentiality and the systems’ integrity.

To apply for this position, you will need to have a strong background in at least one of the following areas:

  • Systems (e.g. systems security, operating systems, networking, distributed systems)
  • Signal processing
  • Machine Learning
  • Formal Methods and Software Engineering

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 on our application guidelines.

In the application form, please write Mobile Systems Security in the “Proposed Research Topic” field, and Dr. Soteris Demetriou in the “Proposed Research Supervisor” field.

Early applications are encouraged. Informal inquiries about this position are also encouraged and can be directed to Dr. Soteris Demetriou.

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

Applicants are advised to visit our PhD page 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.

Funded PhD position in Program Analysis, Verification or Systems

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 position in the Software Reliability Group, under the supervision of Dr. Cristian Cadar.

We are looking for motivated applicants interested in pursuing a PhD degree in program analysis, verification or software systems. The research will be part of the ERC Consolidator Grant Project PASS: Program Analysis for Safe and Secure Software Evolution, and will focus on helping software systems evolve safely and securely. PASS aims to take a holistic approach to the challenges of safe and secure software evolution, by combining offline program analysis to verify or comprehensively test software changes, with runtime mechanisms for keeping the software updated and secure against potentially erroneous changes that make it into the deployed system.

To apply, you will need to have a good background in compilers and/or operating systems and experience in building and working with large software systems and tools. You are expected to familiarise yourself with the research of the Software Reliability Group (see our projects and publications) particularly the KATCH and Shadow projects on the program analysis and verification side, and the Varan and Mvedsua projects on the systems side.

Applicants are expected to have a First Class or Distinction Masters level degree, or equivalent, in a relevant scientific or technical disciplines, 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 competitive stipend/bursary. The position is available to home, EU and overseas students.

How to apply

To apply for this position, please follow the application guidelines 

In the application form, please write Program Analysis, Verification or Systems in the “Proposed Research Topic” field, and Dr. Cristian Cadar in the “Proposed Research Supervisor” field.

Early applications are encouraged. Informal inquiries about this position are also encouraged and can be directed to c.cadar@imperial.ac. For further information see srg.doc.ic.ac.uk

This position will be based at the South Kensington campus in central London,  next to Hyde Park and the museums of South Kensington.

Applicants are advised to visit our PhD page 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 ensuring smart contracts are correct

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 a PhD student to work on Ensuring Smart Contracts are Correct with a focus either on language design or verification under the supervision of Professors Susan Eisenbach and Sophia Drossopoulou.

Smart contracts have to be correct. They are all about money and they have very long lifetimes: once on the blockchain they cannot be updated (corrected). Fortunately, contracts are amenable to verification, especially since they tend to be small. So what is the problem? The de facto smart contract language, Solidity has had a chequered history. Billions of dollars have been lost due to bugs in Solidity code and the existing verification systems for Solidity code have yet to have significant impact to the problem.

We have preliminary work on language design and on specification. The goal of this project is to develop our language and/or to work on our specification techniques as applied to smart contracts. There is significant freedom for an excellent student to explore how to make smart contracts correct.

To apply for this position, you will need to have a strong background in at least two of the following areas: program language design, compilers, blockchain technologies, specification and verification techniques, analysis and testing tools, and theorem provers.

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 and can start April or October.

How to apply

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

In the application form, please write “Correct Smart Contracts” in the “Proposed Research Topic” field, and Professor Susan Eisenbach in the “Proposed Research Supervisor” field. Early applications are encouraged. Informal inquiries about this position are also encouraged and can be directed to to Professor Susan Eisenbach. Find out further information.

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 Functional Programming: Effect Handlers

Studentship: Untaxed bursary of £17,009 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 a PhD student in Functional Programming under the supervision of Dr Nicolas Wu.

The project aims to enhance the applications of effects and handlers by developing scoped contextual operations and effects. There are two main interrelated topics:

  • Developing the foundations of operations and effects that are confined within a scope and that are sensitive to context, thus widening the applications of effect handlers.
  • Producing efficient implementations and demonstrating applications that allow programmers to combine and use such effects.

Addressing these topics will deliver both theoretical insight to the academic community and practical benefits to software engineers.

To apply for this position, you will need to have a strong background in at least one of the following areas: functional programming, programming language design, compilers, algebraic effects. A working understanding of Haskell is essential.

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, EU and overseas students.

How to apply

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

In the application form, please write “Effect Handlers” in the “Proposed Research Topic” field, and “Dr Nicolas Wu” in the “Proposed Research Supervisor” field.

Early applications are encouraged. Informal inquiries about this position are strongly encouraged and can be directed to Dr Nicolas Wu.

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

Applicants are advised to visit the department's PhD information pages 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 machine learning for computer security

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 a PhD student in machine learning for computer security under the supervision of Dr Sergio Maffeis.

The goal of this project is to investigate and develop novel ways to use machine learning techniques to address realistic problems in web, network and software security. The emphasis of the project will depend on the specific skills and interests of the candidate.

To apply for this position, you will need to have a strong background in at least one of the following areas: Web security, Network security, Programming languages, Machine learning.

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 MLSEC in the “Proposed Research Topic” field, and Sergio Maffeis in the “Proposed Research Supervisor” field.

Early applications are encouraged. Informal inquiries about this position are also encouraged and can be directed to sergio.maffeis@imperial.ac.uk. For further information see Sergio Maffeis' webpage.

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

Applicants are advised to visit our PhD page 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 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.

PhD Scholarship in Visualisation and Analysis of Scientific Data in Virtual Reality

To start as soon as possible, by negotiation. Closing date 30th September 2019

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

Schlumberger is the world's leading provider of technology to the oil and gas industry. The search for oil and gas has three objectives:

  1. To identify and evaluate hydrocarbon-bearing reservoirs;
  2. To bring hydrocarbons to the surface safely and cost-effectively, without harming the environment;
  3. To maximize the yield from each discovery.

Schlumberger maintains a long-term commitment to research, with a global network of research centres, exploiting the diversity of technology innovation in the 21st century.

Imperial’s Department of Computing and Schlumberger are seeking a motivated PhD student to work on a project to develop means to visualise and analyse scientific data on a large scale in virtual reality. The algorithm(s) will be developed and improved before implementation in an open-source and user-friendly software package.

This project, a collaboration between Imperial College and Schlumberger, seeks to visualise data related to Schlumberger’s business in virtual reality to enable its collaborative analysis. The post holder will:

  • Define benchmark datasets to test the methods and algorithms,
  • Develop the means to visualise the data in virtual reality, enabling analysis,
  • Integration of new models to interact with the data, i.e., analysing the data through gestures enabled by haptic VR gloves
  • Definition and implementation of collaborative models for joint analysis,
  • Augmentation of models with additional information through data integration.

The post holder will work at Imperial’s SCALE Lab (London, UK). The post holder may also be asked to spend 1-3 months at Schlumberger (Cambridge, UK) each year (housing arrangements to be made).

The project allows for some flexibility in the profile of applicants. Candidates with expertise in the following areas can be a good fit:

  • Large-scale data visualisation and exploration,
  • Virtual reality development,
  • Game development.

All applicants should be able to demonstrate the following:

  • A strong computing background with solid programming skills,
  • Virtual reality expertise (Unity, Oculus or other),
  • An ability to work with third-party software and to liaise constructively with the developers of such software,
  • The ability to work independently and to drive both the research and software development agenda.

The successful applicant will have an MSc (or equivalent) in an area pertinent to the subject area.

How to apply:

Please forward your CV to Dr. Thomas Heinis: t.heinis@imperial.ac.uk Applicants are advised to visit http://www.imperial.ac.uk/computing/prospective-students/courses/phd/ for general information on becoming a PhD student