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 2023. 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 £19,668 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 2023, 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: £19,668 per year

The Department of Computing will award up to four doctoral teaching scholarships for PhD applicants starting in 2022/23. 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 £24,000 per annum in total. Doctoral teaching scholarships are also 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. 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 in the Department of Computing with a named supervisor, following the normal application guidelines; second 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: March 1^st or May 1^st. 

How to Apply:

Please contact Dr. Mark Wheelhouse.

*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.

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
• Vist 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 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.

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 (2022/23 figure including London weighting plus home/overseas tuition fees)

Applications are invited for 2 fully funded 3.5 year PhD studentships (home or overseas) in “Affordable Deep AI for Brain Mapping and Diagnosis” under the supervision of Dr Islem Rekik, the Director of the Brain And SIgnal Research & Analysis (BASIRA) Laboratory and President of the RISE Network for reinforcing inclusiveness and diversity of MICCAI researchers in low-middle income countries. You will join the international BASIRA Lab (https://basira-lab.com/) at Imperial-X (I-X) as a PhD student, and collaborate at a global scale with researchers from different continents, and learn from junior and senior mentors in the group.

Our vision aims to empower students at a very early stage of their career through training them in solving exciting, meaningful and innovative research problems. At BASIRA Lab, we promote open science by sharing 50+ GitHub codes and 30+ project videos led by our undergraduate and graduate students.

The 3-year project aims at designing innovative deep learning models that are not only generalizable and reproducible but also affordable. The application of such models will primarily focus on brain mapping and diagnosis using both image and graph-based representations —with potential extension to other types of datasets (e.g., biological/molecular).

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

- Computer science or related fields

- Programming (Python, PyTorch libraries, etc)

- Linear algebra and statistics

- Deep learning and graph theory

The individual being sought for should be highly motivated and have a particular interest in neuroscience, good coding skills and method development as well as curiosity and patience for conducting research projects.

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 “Affordable Deep AI for Brain Mapping and Diagnosis” in the “Proposed Research Topic” field, and Islem Rekik in the “Proposed Research Supervisor” field.

Early applications are encouraged. Informal inquiries about this position are also encouraged and can be directed to Islem Rekik <islem.rekik@gmail.com>. For further information see https://basira-lab.com/

This position will be based either at the South Kensington or 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.

 

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 £19,668 per annum (2022/23 figure including London weighting plus home fees)

Applications are invited for a PhD student in “Quantum AI” under the supervision of Dr. Roberto Bondesan. You will join the recently founded Quantum AI lab at Imperial-X and benefit from a vibrant community in quantum computing and machine learning in the group and at Imperial College.

The two advertised projects aim at developing new fundamental insights into the application of quantum computing and machine learning to solve hard computational problems. In one of the projects, you will develop novel quantum algorithms for combinatorial optimization problems. You will develop a theoretical analysis of the algorithms and investigate their performance on current quantum devices. In the other project, you will research the power of machine learning to simulate quantum physics. You will develop theoretical insights into the learning algorithms and apply the methods to study impactful problems in quantum chemistry and material science. As a PhD student in the Quantum AI group, you will also have the opportunity to pursue your research ideas.

Ideal candidates for the PhD studentships will have an interest and an existing background in at least one of these topics:

- Quantum computing

- Machine learning

- Quantum physics

- Combinatorial optimization

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 Quantum AI in the “Proposed Research Topic” field, and Dr. Roberto Bondesan in the “Proposed Research Supervisor” field.

Early applications are encouraged. Informal inquiries about this position are also encouraged and can be directed to Dr. Roberto Bondesan. For further information see https://www.imperial.ac.uk/people/r.bondesan

This position will be based at the 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 £24,000 per annum (2021/22 figure including London weighting plus home/overseas tuition fees)

Applications are invited for 3 fully funded 3.5-year PhD studentships (home or overseas) in operating systems research under the supervision of Prof. Peter Pietzuch. You will join the Large-Scale Data and Systems (LSDS) group as a PhD student, and collaborate with the existing faculty members, post-doctoral researchers and PhD students in the group.

Ideal candidates for the PhD studentships will have an interest and an existing background in systems research, which includes, but is not limited to, operating systems (OS) design and implementation, virtualisation and cloud computing stacks, software/hardware co-design, compiler technologies, computer architecture and hardware/software security.

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 previous 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.

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 PhD studentships are fully funded, covering tuition fees, travel funds, equipment and a stipend/bursary. The positions are available to home and overseas (international) students.

How to apply

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

In the application form, write  “OS PhD Studentships” in the “Proposed Research Topic” field and select “Peter Pietzuch” in the “Proposed Research Supervisor” field.

Early applications are encouraged. Informal inquiries about this position can be directed to Peter Pietzuch <prp@imperial.ac.uk>. For more information about the LSDS group and its past research work, please see https://lsds.doc.ic.ac.uk.

This position will be based either at the South Kensington or 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.

The department has one DeepMind PhD scholarship available to students conducting their doctoral research in artificial intelligence or machine learning.

Recipients of the DeepMind PhD scholarship will receive funding to cover fees and maintenance for the duration of their doctoral studies (stipend £21,241 ca) - up to four years.  The scholarship also includes a one-off equipment grant of £1,700 and an annual travel scholarship of £2,200. Students in need who have been awarded a scholarship may also apply in advance of commencing their studies at Imperial College for a relocation grant of up to £1,870.

Eligibility criteria

In order to be eligible, applicants must:
- Identify as female and/or are of an underrepresented minority ethnicity
- Have accepted an offer to study, a PhD with a focus on Artificial Intelligence/Machine Learning at Imperial College London starting in the academic year of 2023-24

How to apply

Interested applicants should apply for admissions to the 'Computing Research' doctoral degree by 15 February 2023. In order to be considered for this award, it is sufficient that the application clearly indicates that the applicant identifies as female and/or is of an underrepresented minority ethnicity.

Recruitment advert and application process for 2023/24 intake

Information for prospective candidates:

Thanks to a generous gift from Mrs Amelia Kentfield, a new scholarship programme was introduced in 2023 and will fund talented candidates to pursue a 3.5-year PhD programme in the Faculty of Engineering at Imperial College London. The scholarships offer three places for intake in academic year 2023/24: one for a candidate with Overseas fee status and two for candidates with Home fee status.

The application deadline for the intake in 2023/24 will be 3 March 2023. The decision will be made in early May 2023.

Background:

Mrs Amelia Kentfield kindly left a gift in her will to support PhD scholarships in the Faculty of Engineering. Her late husband, John Alan Kentfield was a British professor and engineer and completed his PhD in the Department of Mechanical Engineering in Imperial in the early 1960s and later moved to Canada where he was a Professor at the University of Calgary. He was an inventor responsible for several patents, and a consultant to corporations in Canada and the United States. He contributed more than one hundred fifty articles to scientific journals.

The gift is intended to honour her husband’s time at the College and support candidates who will pursue a PhD project in research areas which align with her husband’s research interests. The scholarships specifically aim to support projects which align with the following areas: Transition to Zero Pollution (TZP), I-X (leading advances in AI and its applications) and Space related research areas.

The scholarships are particularly aimed at encouraging candidates from underrepresented backgrounds.

What does the scholarship cover?

The scholarship provides the following support during the 3.5 years of study:

• Full funding for tuition fees (at Home or Overseas rate as applicable for 2023/24); for guidance on fee status before you apply, please refer to Imperial College’s Fee Status page.
• A stipend of £22,900 per annum (2023/24 rate) to assist with living costs.
• A consumables fund of £2,000 per annum for the first 3 years of study.

 

Eligibility:

• Candidate’s proposed project must align with Transition to Zero Pollution (TZP), I-X, or Space related research areas.
• To be eligible, candidates must be:

- Female; and/or

- Of an underrepresented minority ethnicity; and/or

- Have a disability as defined at section 6 UK Equality Act 2010.

• The scholarship is available to students on full-time and part-time courses.

Academic criteria

• Candidates should hold or achieve a Master's degree, in addition to a Bachelor's degree at UK Upper Second Class Honours Level or more.
• Candidates with degrees from overseas institutions should refer to the College Graduate entry requirements pages or check with the relevant Admissions team if their scores/grades are equivalent to the scholarship entry criteria.

- Candidates for whom English is not their first language must already have met English Language criteria at the time of application or have made arrangements to sit an English Language test.

- The scholarships are only open to new PhD applications. Current registered Imperial PhD students are not eligible to be considered for this scholarship.

Application procedure:

1) Computing applicants should following the departmental PhD admissions guidelines and have applied by the deadline on 15 February 2023 (or earlier), or have already received an offer for admission for the intake in academic year 2023/24.

2) Scholarship-specific admissions instructions:

a) For the intake in academic year 2023/24, the earliest start date for funded places is 1 August 2023, the latest start date is 1 November 2023.

b) You must include a 2-page statement. In the statement, please specify in the subject line that you intend to apply for the Amelia and John Kentfield Scholarships. The statement should include:

• your motivations for applying to Imperial College and the scholarship,
• your research proposal
• and any other supporting information not included elsewhere on the application form that you feel will enhance your application and you should outline.
• You are encouraged to write in first person.

c) When prompted for the names of two academic referees, these should not include your proposed PhD supervisor. You are encouraged to share this guidance with your two referees, noting, in particular, the recommendation to use ‘they/them’ language (rather than gender pronouns).

Review and selection process:

Three scholarships are available in the first tranche of recruitment with start date in the academic year 2023/24.

Applications will be reviewed by a two-stage process:

1) Candidates meeting, or predicted to meet, the eligibility criteria will be reviewed by the department to which they have applied. Departments will interview candidates and select a shortlist of candidates to present to the Faculty Selection Panel for consideration.

2) The final decision will be made by the Faculty Selection Panel. The members of the Panel include the Vice Dean Research and Departments’ Director of Postgraduate Studies.

3) Candidates are assessed by the Department and Faculties Selection Panel against the following criteria:

a) Academic excellence - as demonstrated by past academic results and by transcripts, relative class position, awards and distinctions.

b) Research Potential - as demonstrated by the candidate’s research experience to date, their interest in discovery, the research plan and its potential contribution as described in their research proposal and the departmental statement, which also reflects on performance at interview.

Successful candidates will receive written confirmation of their scholarship around May 2023. Any offer of a scholarship will be conditional on the candidate receiving the predicted qualifications.

Scholarship: A full-time EPSRC Industrial CASE PhD research studentship, including full stipend and tuition fee costs, in Memory model formalisation (communications between a CPU and a Peripheral, or between several Peripherals) is available for 4 years starting April 2024 (or shortly thereafter). EPSRC Industrial CASE Awards are flagship collaboration projects between industry and academia, aiming to create the research scientists of tomorrow and deliver real value to all stakeholders.  

Project title: Formalising Arm's memory model: communications between a CPU and a Peripheral, or between several Peripherals 

The Arm architecture defines several types of Memory, amongst which Normal and Device Memory.  Normal Memory is used for example in the context of user space applications running on a CPU: it is the type of memory an application would get from an operating system's memory allocator, e.g. after using a malloc. Device Memory is used for example in the context of communications between CPUs and Devices, e.g. GPUs or Network Interface Cards.  

Describing the legitimate behaviours of concurrent applications over various types of memory can be done by developing a memory model. A memory model determines which values a concurrent application can see. Arm is formalising its memory model since 2016: https://developer.arm.com/Architectures/Memory%20Model%20Tool  

Concretely, Arm develops a formal artefact called a cat file which describes the behaviours of concurrent applications which are allowed by the Arm architecture. This artefact can be executed using the herd7 tool, which allows a user to learn which Behaviours are allowed by the Arm architecture, by experimenting with small concurrent applications called litmus tests: http://diy.inria.fr/www/?record=aarch64 

So far, the scope of this formalisation has been limited to user space applications communicating via Normal Memory. This initial formalisation also did not account for Virtual Memory. Virtual Memory provides in particular the illusion that applications have access to more memory than is actually physically available. The correspondence between Virtual Memory addresses and Physical Memory is recorded in page table entries (PTEs).In the last 3 years, Arm has extended its formal memory model to account for the orderings due to accessing PTEs: https://github.com/herd/herdtools7/pull/466 

This extension again has its own limitations. In particular, PTEs can record Memory Attributes, which indicate which type of Memory the entry points to, for example Normal or Device.  

We propose to expand the Arm memory model formalisation to account for communications between a CPU and a Device, or between several Devices. Some informal record of intent on the matter can be found in Section B2.3.7 Out-of-band-ordered-before of the Arm ARM.  

This PhD studentship is sponsored by ARM and will be co-supervised by Professor Jade Alglave at ARM and Dr Azalea Raad at Imperial College.  

The Department of Computing at Imperial College is one of the largest computing departments in the UK and is consistently ranked as world leading for computer science research. Well known for our work on across all areas of computer science, the British Research Excellence Framework ranks the Department at number one in terms of Research Impact. 

Applications 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, computer engineering or mathematics. Candidates who have only a Bachelor’s degree will not normally be considered. For candidates in possession of a Masters level degree at Distinction, we also assess prior undergraduate degrees, for which the normal departmental acceptance level is 2.1 UK equivalent or above. 

The studentship will commence in April 2024 and will be available for up to four years, with a stipend equivalent to UKRI rates (approx. £20,622 tax free for 2023/24 and subject to change for future years), plus an industrial top-up stipend, subject to contract. This also covers full university tuition fees (at Home level), and travel support for fieldwork, conferences and industrial visits.   

How to apply: Please forward your CV to both Dr Azalea Raad azalea.raad@imperial.ac.uk and  Professor Jade Alglave Jade.Alglave@arm.com by 1st September 2023. 
 

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

Closing date: 1st September 2023 

Studentship: Untaxed bursary of £19,668 per annum (2020/21 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 develop theoretical and practical foundations for persistent programming over the emerging non-volatile memory technology under the supervision of Dr Azalea Raad (http://www.soundandcomplete.org).

The aim of this project is to develop rigorous theoretical and practical foundations for the cutting-edge paradigm of persistent programming in the context of the emerging non-volatile memory technology. The project has both theoretical and practical components, such as devising a formal model for persistent programming in mainstream languages such as C/C++, as well as designing and implementing persistent programming support through higher-level libraries.

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

Formal Semantics

Compilers

Computer Architecture

Specification and Verification

Concurrency Theory and Concurrent 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/EU students.

How to apply

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

In the application form, please write Foundations of Persistent Programming in the “Proposed Research Topic” field, and Azalea Raad in the “Proposed Research Supervisor” field.

Early applications are encouraged. Informal inquiries about this position are also encouraged and can be directed to Dr Azalea Raad (azalea@imperial.ac.uk). For further information see http://www.soundandcomplete.org/projects.html.

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

Applicants are advised to visit our PhD webpage 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/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 on latency-critical datacenter systems and in-network compute under the supervision of Dr. Marios Kogias (Marios Kogias). The goal of this project is to build datacenter systems that can operate with microsecond scale latency and take advantage of emerging network devices, such as programmable switches and smartNICs.

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

· Operating Systems

· Computer Networks

· Distributed Systems

Experience in any of the following will also be considered in addition to those described above:

· Low-level C programming

· Kernel-bypass frameworks (e.g. DPDK, SPDK, etc)

· P4 programming language

· Queueing Theory

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 stipend/bursary.

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 “Latency-Critical Datacenter Systems” in the “Proposed Research Topic” field, and Dr. Marios Kogias in the “Proposed Research Supervisor” field.

Early applications are encouraged. Informal inquiries about this position are also encouraged and can be directed to Dr. Marios Kogias. For further information see Marios Kogias

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.

PhD Scholarship in Hardware and OS Support for Future Smart Data Center Disaggregation

Studentship: Untaxed bursary of £19,668 per annum (2020/21 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 analyze and develop hardware and OS support for future data centers under the supervision of Lluis Vilanova (https://www.imperial.ac.uk/people/vilanova). The end-goal of this project is to build a forward-looking, smart data center-scale infrastructure using bleeding-edge smart/programmable components, as well as proposing new hardware and operating system abstractions to push the security and efficiency guarantees of data centers further into the future.

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

• Operating systems

• Computer architecture (hardware-software co-design preferred)

• Development in programmable accelerators

• Security (especially regarding formal methods)

Skills in any of the following areas will also be considered in addition to those described above:

• Machine learning

• Resource management (metering, placement, scheduling)

• Live state migration

This work will be performed in the LSDS lab (https://lsds.doc.ic.ac.uk), where you will also have the opportunity to interact with its other members and the many exciting projects we are working on. 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 at: https://www.imperial.ac.uk/computing/prospective-students/phd/phd-application-guidelines/ In the application form, please write SDCD in the “Proposed Research Topic” field, and Lluis Vilanova in the “Proposed Research Supervisor” field.

Early applications are encouraged. Informal inquiries about this position are also encouraged and can be directed to Lluis Vilanova (vilanova@imperial.ac.uk). This position will be based at the South Kensington campus in central London.

Applicants are advised to visit https://www.imperial.ac.uk/computing/prospective-students/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.

PhD Scholarship in Hardware and Software Co-Design for Security and Virtualization Performance

Studentship: Untaxed bursary of £19,668 per annum (2020/21 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 analyze and co-design hardware and software support to improve the performance of trusted execution environments and virtual machines under the supervision of Lluis Vilanova (https://www.imperial.ac.uk/people/vilanova).

This project aims to analyze the existing system and hardware support for trusted execution environments (e.g., Intel SGX) and virtualization core technologies, in order to fundamentally improve their performance by proposing and developing new solutions that span across the hardware, operating system and application layers.

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

• Operating systems

• Computer architecture (micro-architecture and hardware-software co-design preferred)

• Machine virtualization

• Secure execution environments (e.g., Intel SGX, AMD SEV, ARM TrustZone)

Skills in any of the following areas will also be considered in addition to those described above:

• Memory design

• Encryption

This work will be performed in the LSDS lab (https://lsds.doc.ic.ac.uk), where you will also have the opportunity to interact with its other members and the many exciting projects we are working on.

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 at: https://www.imperial.ac.uk/computing/prospective-students/phd/phd-application-guidelines/

In the application form, please write CSVP in the “Proposed Research Topic” field, and Lluis Vilanova in the “Proposed Research Supervisor” field. Early applications are encouraged. Informal inquiries about this position are also encouraged and can be directed to Lluis Vilanova (vilanova@imperial.ac.uk).

This position will be based at the South Kensington campus in central London. Applicants are advised to visit https://www.imperial.ac.uk/computing/prospective-students/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.

Full Fees and Stipend provided

Start Date April 2023

Control systems can be found everywhere from modern cars to water networks. This studentship’s aim is to use Machine Learning to optimise the control process and the research will be co-supervised by machine learning experts in IBM.

You will be joining a world-leading team. Imperial College is consistently in the top 10 world university rankings with the Department of Computing ranked top of the Research tables in the 2021 UK REF assessment. The PhD student will join the AESE group who recently won the 2020 President’s Medal for Outstanding Research.

It is expected that you will have an Advanced Masters degree with Distinction (or equivalent First-Class degree with relevant experience) in Computer Science, Process Control Systems, Computer Systems Engineering or Electrical and Electronic Engineering, or similar. You must have excellent communication skills and be able to organise your work and prioritise it to meet deadlines. All applicants must be fluent in spoken and written English.

For further information see: http://wp.doc.ic.ac.uk/aese/ or email research related enquiries to Prof J.A. McCann j.mccann@imperial.ac.uk

How to apply

Applications must include:

• 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 “iCASE Studentship in Machine Learning and Control for Cyber-Physical Systems” in the “Proposed Research Topic” field, and Julie McCann in the “Proposed Research Supervisor” field.
• A full CV
• A 1 page statement indicating what you see are interesting research issues relating to the above post and why your expertise is relevant.

For applications queries please contact Teresa Ng (t.ng@imperial.ac.uk)

Closing Date: 28^th February 2023 (midnight)

Imperial Managers lead by example.

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 £19,668 per annum (2020/21 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.

Topic and requirements

Applications are invited for PhD candidates that are excited to shape the next generation of mobility systems and shed light on their societal impact. Toards this goal, you will be working under the supervision of Dr Dario Paccagnan, develop and analyse theoretically-sound tools/models/algorithms.

Autonomous Mobility on Demand – a mode of transportation wherein fleets of self-driving vehicles transport passengers on demand within a city -  is forecasted to revolutionise the way we move. Yet its impact on our society is not fully understood. For example, how will autonomous vehicles integrate with the existing public transportation infrastructure? Will competition between multiple operators worsen the congestion?

You will have the opportunity to tackle these questions (and many more) in a principled way, and at the same time develop novel tools and algorithms to shape the future of intelligent transportations systems. As the interests of different parties are involved (e.g., traffic authority, municipalities, systems’ operators), you will exploit models and tools in game theory, optimisation, control theory.

To apply for this position, we are looking for outstanding PhD candidates with a strong mathematical background. Familiarity with any of the following is desirable: convex optimization, algorithms, game theory, control theory.

Applicants are expected to have a First Class or Distinction Masters level degree, or equivalent, in Computer Science, Applied Mathematics, Systems and Control, Electrical or Mechanical Engineering. 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 at this link.

In the application form, please write Future Mobility Systems in the “Proposed Research Topic” field, and Dr Dario Paccagnan in the “Proposed Research Supervisor” field.

Early applications are encouraged. Informal inquiries about this position are also encouraged and can be directed to Dr Dario Paccagnan. For further information see link.

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 £20,662 per annum (2023/24 figure including London weighting plus home fees)

Applications are invited for a PhD student in Compiler Testing, Verifier Testing and Mutation Testing under the supervision of Professor Alastair Donaldson.

I am looking to recruit two PhD students to continue my research group’s line of work on compiler testing, which has included tools for testing GPU compilers (e.g. GLFuzz, OOPSLA 2017, which led to the GraphicsFuzz startup company that was later acquired by Google), methods for testing C compilers (e.g. the GrayC tool, to appear at ISSTA 2023), as well as new techniques to help with test-case reduction (e.g. this PLDI 2023 paper). Topics for the PhD positions could focus on any combination of:

• Compiler testing: using randomised testing to automatically find bugs in the implementations of compilers and related tools (such as interpreters and programming language virtual machines)
• Verifier and analyser testing: adapting techniques that have been successful in compiler testing to find bugs in formal verification tools (such as deductive verification engines and model checkers)
• Mutation testing: investigating the use of randomised testing to automatically grow high quality test suites, where quality is measured by the ability of the test suite to kill “mutants”: synthetic defects injected into the system under test
• The application of mutation testing to the compiler and verifier testing
• Fuzzing more generally: while I have many ideas about compiler fuzzing, I am open to supervising a PhD topic on other applications of randomized testing.

The studentships will include exciting opportunities to contribute to the reliability of a number of widely-used open source projects and open standards. Examples include (but are not limited to) the Clang/LLVM compiler infrastructure, the Dafny verified programming language, and the WebGPU standard.

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

• Software reliability or software testing
• The basic workings of compilers or verification tools
• Programming, with strong skills and an enthusiasm for building high quality software

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 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 Compiler Testing, Verifier Testing and Mutation Testing in the “Proposed Research Topic” field, and Alastair Donaldson in the “Proposed Research Supervisor” field.

Early applications are encouraged. Informal inquiries about this position are also encouraged and can be directed to alastair.donaldson@imperial.ac.uk. For further information see https://multicore.doc.ic.ac.uk.

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.

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 funds up to 15 PhD studentships each year.

Funding includes tuition fees, a stipend of around £19,668, and a Research Training Support Grant (RTSG). Applications are now open for October 2022 entry. The final application deadline this year is 21 November 2022 (23:59) for academic year 2023-24.

Round A – 21^st November 2023

Round B – 6^th February 2023

Round C – 3^rd April 2023

Round D – 5^th June 2023

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

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