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 2022. 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 £17,609 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.

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: £4,500 per year 
Bursary: £17,609 per year

Doctoral teaching scholarships

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 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 Anandha Gopalan.

*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.

President's and CSC scholarships

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

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.

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.

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.

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 funds up to 15 PhD studentships each year.

Funding includes tuition fees, a stipend of around £17,609, and a Research Training Support Grant (RTSG). Applications are now open for October 2022 entry. The final application deadline this year is 11 April 2022 (23:59).

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.

Area specific scholarships

2 x PhD Studentships at I-X in Affordable Deep AI for Brain Mapping and Diagnosis

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.

 

2 x PhD Studentships in Human-Robot Interaction

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.

2 x PhD Studentships in User-Centred Systems’ Security/Privacy

Studentship: Untaxed bursary of £18,062 per annum (2022/23 rate plus home/overseas tuition fees) 

Applications are invited for 2 fully funded 3.5-year PhD studentships (home or overseas) in User-Centred Systems’ research under the supervision of Dr Hamed Haddadi at the Department of Computing at Imperial College London. You will join the exciting new Imperial-X initiative as a PhD student, and collaborate with the existing and new faculty members, post-doctoral researchers and PhD students in the Computing and I-X. These studentships are part of Dr Haddadi’s new URKI EPSRC Open Plus Fellowship on Securing the Next Billion Consumer Devices on the Edge. 

Ideal candidates for the PhD studentships will have an interest and an existing background in systems/networks research, which includes, but is not limited to, Internet of Things, mobile systems, systems Privacy/Security, applied Machine Learning, and/or Trusted Execution Environments. 

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, electronics engineering, 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 IX Haddadi PhD Studentships” in the “Proposed Research Topic” field and select Hamed Haddadi in the “Proposed Research Supervisor” field. 

Early applications are encouraged. Informal inquiries about this position can be directed to Hamed Haddadi <h.haddadi@imperial.ac.uk>. For more information about the group and its past research work, please see https://haddadi.github.io/research/ 

This position will be based primarily at the new I-X 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. 

3 x PhD Studentships in Operating Systems Research

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.

DeepMind PhD scholarship

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 (stipend of £17,500 ca in the first three years and £8,750 in the fourth year) for the duration of their doctoral studies - usually up to four years.  The scholarship also includes a one-off equipment grant of £1,500 and an annual travel scholarship of £2,000.  For students with Overseas rate of tuition only, the scholarship will also include a one-off reallocation grant of £1,700.

Eligibility criteria


In order to be eligible, applicants must:
- Identify as female and/or Identify as female AND/OR identify as of a minority ethnicity
- Have previously exhibited exceptional academic merit or potential; and
- 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 2022-23

How to apply


Interested applicants should apply for admissions to the 'Computing Research' doctoral degree by Friday 7 January 2022. In order to be considered for this award, it is sufficient that the application clearly indicates that the applicant identifies as Identify as female and/or Identify as female AND/OR identify as of a minority ethnicity

Foundations of Persistent Programming

Studentship: Untaxed bursary of £17,285 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.

Funded PhD Position in Latency-Critical Systems and In-Network Compute

Studentship: Untaxed bursary of £17,609 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.

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. We encourage applicants from underrepresented backgrounds to apply.

Hardware and OS Support for Future Smart Data Center Disaggregation

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

Studentship: Untaxed bursary of £17,285 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.

Hardware and Software Co-Design for Security and Virtualization Performance

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

Studentship: Untaxed bursary of £17,285 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.

I-X PhD Studentships in Artificial Intelligence/Machine Learning/Data Science/Digital technologies

Studentship: Untaxed bursary of £17,609 per annum (2021/22 figure including London weighting plus home fees) 

Imperial College London invites applications for PhD studentships, which will be part of the College’s new I-X initiative. The PhD positions are fully funded, covering tuition fees, travel funds and a stipend/bursary. They are especially targeted at PhD applicants with an interest in entrepreneurship. The positions are available to home (UK resident) students. 

I-X (Imperial-X) is a new collaborative environment for research, education, and entrepreneurship across the areas of artificial intelligence, machine learning, data science, statistics, and digital technologies. The goal of I-X is to realise new models for research, education, and entrepreneurship that go beyond traditional siloes imposed by academic disciplines, thus forming a blueprint for the university of the future. I-X benefits from a strategic investment by the College, which includes new facilities on Imperial’s White City and South Kensington campuses. For more information about I-X, please visit https://ix.imperial.ac.uk. 

At I-X, we value research in both foundational and theoretical underpinnings, practical applied areas, transdisciplinary research, and digital innovationApplications are thus invited from candidates interested in artificial intelligence, machine learning, data science, statistics, security, communications, systems, and digital technologies.  

PhD supervisors for the I-X PhD studentships will be from the Department of Computing, the Department of Electrical and Electronic Engineering (EEE), or another engineering department that is part of the Faculty of Engineering. 

Benefiting from the I-X environment, the PhD studentships will place an emphasis on entrepreneurial activities by encouraging the development of commercialisation ideas as part of the PhD work. I-X and the College will support commercialisation activities during the PhD programme and provide guidance on fund-raising, participation in competitions, start-up creation, and business planning. Ideal candidates will therefore have a desire to commercialise their research outputs and explore opportunities for start-up creation.  

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 sciencemathematics or engineering. Applicants must be fluent in spoken and written English. 

How to apply 

To apply for this position, please follow the PhD application guidelines for the Department of Computing, the Department of EEE, or another engineering department. In the application form, please prefix the “Proposed Research Topic” field with “I-X”; the “Proposed Research Supervisor” field is optional in case you have already identified a potential PhD supervisor. 

Early applications are encouraged. Informal inquiries about the I-X PhD studentships can be directed to ix-contact@imperial.ac.uk.

This position will be based at the White City campus in central London. 

Applicants are advised to visit the relevant departmental webpages for general information on becoming a PhD student in the Department of Computing, the Department of EEE, and other Faculty of Engineering departments. 

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. 

InstaDeep Scholarship for Data-Efficient Multi-Objective Quality-Diversity optimisation

Studentship: Untaxed bursary of £18,062 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 in Data-Efficient Multi-Objective QD under the supervision of Dr Antoine Cully.

Project Description

In this thesis, we will consider the problem of Quality-Diversity (QD) optimization with multiple objectives. QD algorithms have been proposed to search for a large collection of both diverse and high-performing solutions instead of a single set of local optima. As an example, the MAP-Elites algorithm discretizes a space of possible descriptors (BD) into a grid (also called archive) via a tessellation method. The method goal is to fill each cell of this grid with the highest performing individuals. Striving for diversity was shown to be useful in many industrial and robotics applications. On the other hand, most real-life problems exhibit several potentially antagonist objectives to be optimized. Hence being able to optimize for multiple objectives with an appropriate technique while striving for diversity is important to many fields.

Although extensive work has been conducted on both the QD and multi-objective optimization independently, the study of the frontier between both fields is more recent (Pierrot and Richard, et al., 2022). The proposed technique is an extension of the MAP-Elites algorithm in the multi-objective setting dubbed Multi-Objective MAP-Elites (MOME). Namely, it combines the diversity inherited from the MAP-Elites grid algorithm with the strength of multi-objective optimizations by filling each cell with a Pareto Front. As such, it allows us to extract diverse solutions in the descriptor space while exploring different compromises between objectives. Experimental results show the ability of MOME to provide diverse solutions while providing global performances similar to standard multi-objective algorithms. However, as for its mono-objective counterpart, MOME relies on divergent random searches which is known to suffer from poor sample efficiency and limit the applicability of the method to small search spaces.

Recently, several works proposed techniques to improve sample efficiency and allow these methods to solve complex problems in high dimensional search spaces with improved sample efficiency. Notably, CMA-ME (Fontaine et al., 2020) extends the Covariance Matrix Adaptation algorithm to improve the asymptotic convergence of MAP-Elites. Recently, Differentiable QD (Fontaine et al., 2021) goes one step further and exploits derivatives of the fitness and descriptors functions which outperforms CMA-ME when such quantities are known and available. These methods are generic as they do not assume any underlying structure. Other methods were proposed in the context of solving sequential decision processes, formalized as Markov Decision Processes (MDPs), with neural network controllers. ME-ES (Colas et al., 2020) extends the CMA-ES algorithm to propose updates at the trajectory level that thrive the population for improved quality and diversity in the population. PGA-ME (Nilsson and Cully, 2021) proposes to rely on state-of-the-art deep reinforcement learning methods, namely TD3 (Fujimoto et al., 2018), to thrive the population toward quality, exploiting information at the time step level. A divergent random search is used for diversity optimization. PGA-ME was shown to outperform ME-ES. Very recently, QD-PG (Pierrot and Mace, et al. 2021) extends PGA-ME with the introduction of a policy gradient operator that allows exploiting time step

information to thrive the population toward diversity, thus replacing the random search. QD-PG was shown to outperform PGA-ME on control benchmarks that exhibit hard exploration problems.

All these methods were designed for the mono-objective setting only. The context of this Ph.D. will be to study to which extent such techniques could be applied to the Multi-Objective Quality Diversity framework. Namely, it will aim to answer the following question: how to improve the sample efficiency in Multi-Objective Quality Diversity optimization? We expect that answering this question could reduce dramatically the cost of solving MOQD problems and open a new path for applications in evolutionary robotics or industrial design.

How to apply

To apply for this position, you will need to have a strong background in at least one of the following areas: Reinforcement Learning, Quality-Diversity Optimisation, Machine Learning, Robotics.

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.

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 Data-Efficient Multi-Objective QD in the “Proposed Research Topic” field, and Antoine Cully in the “Proposed Research Supervisor” field.

Early applications are encouraged. Informal inquiries about this position are also encouraged and can be directed to Antoine Cully. For further information about the host laboratory: https://www.imperial.ac.uk/adaptive-intelligent-robotics/

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.

References

Pierrot, T., Macé, V., Cideron, G., Beguir, K., Cully, A., Sigaud, O. and Perrin, N., 2021. Diversity Policy Gradient for Sample Efficient Quality-Diversity Optimization.

Fontaine, M.C., Togelius, J., Nikolaidis, S. and Hoover, A.K., 2020, June. Covariance matrix adaptation for the rapid illumination of behavior space. In Proceedings of the 2020 genetic and evolutionary computation conference (pp. 94-102).

Nilsson, O. and Cully, A., 2021, June. Policy gradient assisted map-elites. In Proceed-ings of the Genetic and Evolutionary Computation Conference (pp. 866-875).

Colas, C., Madhavan, V., Huizinga, J. and Clune, J., 2020, June. Scaling map-elites to deep neuroevolution. In Proceedings of the 2020 Genetic and Evolutionary Computa-tion Conference (pp. 67-75).

Pierrot, T., Richard, G., Beguir, K. and Cully, A., 2022. Multi-Objective Quality Diversity Optimization. arXiv preprint arXiv:2202.03057.

Fontaine, M. and Nikolaidis, S., 2021. Differentiable Quality Diversity. Advances in Neural Information Processing Systems, 34.

Fujimoto, S., Hoof, H. and Meger, D., 2018, July. Addressing function approximation error in actor-critic methods. In International conference on machine learning (pp. 1587-1596). PMLR.

PhD iCASE Studentship in Machine Learning and Control for Cyber-Physical Systems working with IBM

Studentship: Untaxed bursary of £18,062 per annum (2022/23 figure including London weighting plus home fees) - Start Date October 2022

Machine Learning Control seeks to mix intelligent systems with control theory to optimise complex nonlinear systems. This studentship aims to carry out research that models and controls the physical system under focus but also the cyber-physical interaction of this system with the underpinning sensor network to jointly produce new optimisations and protocols. This PhD 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

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 iCASE Studentship in the “Proposed Research Topic” field, and J.A. McCann in the “Proposed Research Supervisor” field. Early applications are encouraged.

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.

Applications must include:

  • 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: August 25th 2022 (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

Future Mobility Systems: design and societal impact

Studentship: Untaxed bursary of £17,285 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.

UKRI CDT studentships in AI for Healthcare

logoThe 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