Abstract image of people The Department of Computing  is a thriving community that exists to provide world-class research, teaching and learning.

We have consistently been awarded the highest research and teaching rating.

In the recent Research Excellence Framework (REF) the Department was ranked 3rd overall and 1st for Research Intensity.

At the last national assessment of teaching quality the Department was rated as "Excellent" and came 2nd in The Complete University Guide, The Guardian, The Times and The Sunday Times national league tables by subject.

All our staff help us fulfil this mission and achieve this high level of success, you could be one of them.

See below for current vacancies

Vacancies

Research Assistant/Associate (Software Developer)

Research Assistant/Associate (Software Developer)

Fixed Term appointment for 12 months

Research Assistant salary: £32,380 to £34,040 per annum

Research Associate salary in the range: £36,800 - £44,220 per annum

We have an exciting opportunity for a Research Assistant/Associate (Software Developer) to work on OPen ALgorithm project (OPAL). This is a joint initiative at Imperial College between the Data Science Institute (DSI) https://www.imperial.ac.uk/data-science and MIT. 
This is a one year position in the first instance, but there may be subsequent PhD opportunities.

The Data Science Institute (DSI) launched in April 2014 as Imperial College’s fifth cross-faculty Institute. The DSI provides a focal point for multidisciplinary data-driven research, supplying technology support for partners, and educating the next generation of data scientists.

The OPAL project aims to develop a secure and transparent data-processing platform allowing large-scale location datasets to be used for good while truly preserving people’s privacy.  For a short overview of the project see: http://www.opalproject.org/closer-look.

The project is developed alongside a set of operational partners (MIT, Orange, Data-Pop) with Imperial leading the technical development of the open-source platform. We aim for the platform to be piloted and installed by our telecommunication partners in Senegal and Colombia ultimately allowing data from more than 8 million people to be analysed anonymously. The first users of the platform are the countries’ national statistical agencies who will test the platform and use the results of OPAL algorithms in support of the UN Sustainable Development Goals (e.g. real-time population density, inter-city mobility, etc).

The successful candidate must have an excellent software engineering skills and experience with data processing infrastructure. Experience with python, and non-relational databases along with an interest for privacy-preserving technologies is essential. Experience with Node.JS, RESTful APIs, and location data as well as an interest for the use of big data in developing countries is a plus.

To be appointed at Research Assistant level you will need a master’s degree (or equivalent) in computer science, software engineering, information science, or a related subject. To be appointed at Research Associate Level you must have a PhD (or equivalent) in the above areas.  You must have excellent written communication skills, the ability to write clearly and concisely at a level consistent with publication in highly regarded international journals and be able to organise and prioritise your own workload with minimal supervision.

You will be based at the South Kensington campus. For information on the group see: http://dsg.doc.ic.ac.uk. All applicants must be fluent in English.

How to apply:

Our preferred method of application is online via: http://www3.imperial.ac.uk/employment (please select “job search” then enter the job title or vacancy reference number EN20170264LE into “keywords”). 

Please include:

  • A college application form
  • A full CV
  • A 1-page statement indicating what you see as interesting research issues relating to the above post and why your expertise is relevant.

For queries regarding the application process contact Fay Miller at: f.miller@imperial.ac.uk 

Closing Date: 25 September 2017

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.

Research Assistant/Associate (Software Developer/DevOps Engineer) Biomedical Image Analysis

Research Assistant/Associate (Software Developer/DevOps Engineer) Biomedical Image Analysis

Research Assistant salary range: £32,380 to £34,040 per annum
Research Associate salary range: £36,800 to £44,220 per annum

Fixed Term appointment up to 31st August 2019

The Biomedical Image Analysis Group (BioMedIA) is part of the Department of Computing which is a leading department of Computer Science among UK Universities. It has consistently been awarded the highest research rating (5*) in Research Assessment Exercises (RAE), coming 2nd in the 2008 RAE, and was rated as "Excellent" in the previous national assessment of teaching quality. For further information about the group and related projects see: https://biomedia.doc.ic.ac.uk/.

We are seeking to appoint a Research Assistant/Associate as part of BioMedIA to develop an image and clinical data management system for the Developing Human Connectome Project (dHCP – http://developingconnectome.org). This European funded project will develop and apply novel, cutting-edge magnetic resonance (MR) methods to record structural and functional cerebral connectivity during early life, creating the first mapping of the developing human macro-connectome.

The successful DevOps engineer will enable state-of-the-art scientific progress by building a bespoke infrastructure to support the organisation, processing and management of large-scale image and clinical data collection and storage that can be accessed via web-based user interfaces. You will help provide the data we gather and tools for connectomic analysis, together with associated genetic, neurodevelopmental and clinical information within a user-friendly informatics platform for access by the world research community, and carry out exemplar, ground-breaking studies into normal and abnormal brain development.

The key element in this project is the ability to collect, manage and process data at very large scale.  Experience with Cluster Management and Orchestration frameworks (Kubernetes, Mesos,) and container technologies (Docker) is essential. The ideal candidate will have at least basic knowledge of modern web development technologies including REST APIs and microservices. Experience with Continuous Integration / Delivery (Jenkins, Gitlab CI) would also be appreciated.

At Research Assistant level you will have an excellent undergraduate degree (or equivalent) in a relevant discipline with a particular interest in software and systems engineering, cloud computing and containers. At Research Associate level you must have a PhD (or equivalent) in a subject relevant to medical imaging with particular expertise in medial image computing and/or software engineering.  Preference will be given to applicants with a proven software engineering track record and excellent programming skills.

All applicants must be fluent in English.

How to apply:

Our preferred method of application is online via our website: http://www3.imperial.ac.uk/employment

Please select “job search” then enter the job title or vacancy reference number EN20170310LE into “keywords”.  Please complete and upload an application form as directed.

Applications must include:

  • A college application form
  • A full CV
  • A two-page statement indicating what you see are interesting research issues relating to the above post and why your expertise is relevant.
  • Any element relating your experience / passion for software engineering (blog, open source projects, github repositories and others) will be carefully inspected.

Should you have any queries regarding the application process please contact Georgina Tennant: g.tennant@imperial.ac.uk

Closing Date: 11 October 2017

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

Research Assistant/Associate Position in Robotics and Machine Vision

The Hamlyn Centre for Robotic Surgery in association with Department of Computing, Faculty of Engineering and Department of Surgery, Faculty of Medicine

Fixed Term up to 28th February 2019, to as soon as possible

Research Assistant salary: £32,380 to £34,040 per annum
Research Associate salary: £36,800 to £44,220 per annum

(Maximum salary on appointment will be £43,050 per annum)

The Department of Computing is a leading department of Computer Science among UK Universities, and has consistently been awarded the highest research rating from the Higher Education Funding Council. The Hamlyn Centre is dedicated to developing safe, effective and accessible imaging, sensing and robotics technologies that can reshape the future of healthcare.

We are seeking to appoint a Research Assistant/Associate to Internet of Things (IoT) Security and Pervasive Sensing Technologies for developing novel approaches to address security and privacy issues in the new generation of wearable and implantable healthcare devices.

The vacancy is for the IoT Security for Health Care (SeNTH plus) project which is one of the strategic research projects of the EPSRC PETRAS IoT research Hub. The project involves the development of autonomic security approaches for miniaturised sensors, and the deployment of the new security mechanisms in clinical settings to validate its potential value and immunity against potential threats.

We are looking for outstanding applicants in any of the following areas of research:

  • Internet of Things (IoT) and pervasive sensing;
  • Network security and data privacy;
  • Wearable/implantable sensor design;
  • Machine learning.

At the Research Assistant level you must have a Masters degree (or equivalent) in Mechanical Engineering, Computing, Electronic Engineering, Physics, Biomedical Engineering or a related discipline.  For a Research Associate position you must have a PhD degree (or equivalent) in related disciplines. You will need to have considerable experience in interdisciplinary research and working for large integrated development projects.

Applicants with strong experience and a proven track record in one or more of the above research areas are encouraged to apply. A high level of analytical and computing skills is required.  Preference will be given to applicants with a proven research record and publications in relevant areas. Applicants must be fluent in English.  The position is based at either the South Kensington campus or St Mary’s campus laboratories of the Hamlyn Centre.

For details of the project see: http://www.imperial.ac.uk/hamlyn or email r.raupp@imperial.ac.uk for informal enquiries or background of the project.

How to apply:

Our preferred method of application is online via our website http://www3.imperial.ac.uk/employment (please select “Job Search” then enter the job title or vacancy reference number EN20170324LE into “Keywords”). Please complete and upload an application form as directed. 

Please include:

  • A College application form
  • A full CV
  • A 1 page statement indicating why your expertise is relevant

For queries regarding the application process contact Georgina Tennant: g.tennant@imperial.ac.uk

Closing date:  13 October 2017

Committed to equality and valuing diversity.  We are also an Athena Bronze SWAN Award winner, a Stonewall Diversity Champion and a Two Ticks Employer

Research Assistant/Associate – Cardiac MR Image Reconstruction/Analysis and Machine Learning

Research Assistant/Associate – Cardiac MR Image Reconstruction/Analysis and Machine Learning

Research Assistant salary range: £32,380 to £34,040 per annum
Research Associate salary range: £36,800 to £44,220 per annum

Fixed Term appointment for up to 48 months starting on 1st October 2017

The BioMedIA group is part of the Department of Computing which is a leading department of Computer Science among UK Universities. Imperial College has the greatest concentration of high impact research of any major UK university, according to the Research Excellence Framework (REF) 2014. The Department of Computing us the only Department in the UK that has been rated consistently amongst the top three since the introduction of research assessments. Imperial was also awarded “Gold” according the last Teaching Excellence Framework (TEF) 2017.

We are seeking to appoint a Research Assistant/Associate to develop novel machine learning algorithms for the reconstruction and analysis of cardiac MR images. The successful candidate will join the EPSRC funded SmartHeart (www.smart-heart.org) project, the next-generation of cardiovascular healthcare which uses integrated image acquisition, reconstruction, analysis and interpretation.

To apply, you will have a special interest in image analysis with particular emphasis on cardiac magnetic resonance imaging (MRI). You will work with a wider community of computer scientists, cardiologist and medical imaging experts from leading hospitals and UK Biobank to develop medical image reconstruction and segmentation algorithms.  You should be willing to get involved at all levels from image reconstruction and image analysis to clinical translation.

At Research Assistant level you will need to have a first-class undergraduate degree (or equivalent) in a relevant discipline with a particular interest in machine learning and computer vision. Preference will be given to applicants with a proven track record in medical imaging. To be appointed a Research Associate level you must have been awarded a PhD (or equivalent) in a subject relevant to medical imaging with particular expertise in medical image reconstruction, medical image computing, computer vision or machine learning.  

All applicants must be fluent in spoken and written English. You must have excellent communication skills and be able to organise your own work with minimal supervision and prioritise work to meet deadlines.  You will be part of the Biomedical Image Analysis Group (BioMedIA) based at the South Kensington campus in London. The mission of the group is to develop novel, computational techniques for the analysis of biomedical images. For further information about the group and related projects see: http://biomedic.doc.ic.ac.uk/.

How to apply:

Our preferred method of application is online via our website at: http://www3.imperial.ac.uk/employment   

Please select “job search” then enter the job title or vacancy reference number EN20170297SA into “keywords”.  Please complete and upload an application form as directed.

Applications must include the following:

  • A college application form
  • A full CV
  • A two-page research statement indicating what you see are interesting research issues relating to the above post and why your expertise is relevant.
  • Any element relating your experience / passion for software engineering (blog, open source projects, github repositories and others) will be carefully inspected.

Should you have any queries regarding the application process please contact Georgina Tennant by email to: g.tennant@imperial.ac.uk

Closing Date: 2 October 2017 (midnight BST)

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

Research Associate in Testing Web Browser Security

Research Associate in Testing Web Browser Security

Salary range: £36,800 to £44,220 per annum*

Full time, fixed term appointment for 24 months

To start January 2018

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

We are looking to hire a motivated postdoctoral Researcher interested in working at the intersection of software testing, web security and program analysis. The research will focus on devising novel methods for automatically testing web browsers to find reliability issues and exploitable vulnerabilities.  The successful candidate will support work under the supervision of Dr Benjamin Livshits and Dr Alastair Donaldson.

To apply, you will need to have a strong computing background, experience in building and working with large software systems and tools, and proven knowledge in web security or program analysis. Candidates are also expected to have a proven research record and publications in the relevant areas.

The successful applicant will have or be near completing a PhD (or equivalent) in an area pertinent to the subject area. You must have excellent communication skills and be able to organise your own work with minimal supervision and prioritise work to meet deadlines. All applicants must be fluent in spoken and written English.

For informal inquiries about this position please contact Dr. Benjamin Livshits or Dr. Alastair Donaldson.  For further information on their research groups and interests see https://www.doc.ic.ac.uk/~livshits/ and http://multicore.doc.ic.ac.uk/.

*Candidates who have not yet been officially awarded their PhD will be appointed as Research Assistant within the salary range £32,390 - £34,040 per annum.

How to apply:

Our preferred method of application is online via our website at: http://www3.imperial.ac.uk/employment (please select “job search” then enter the job title or vacancy reference number EN20170321LE into “keywords”).  Please complete and upload an application form as directed.

Applications must include the following:

  • A college application form
  • A full CV, with a list of all publications
  • A two-page research statement indicating what you see are interesting research issues relating to the above post and why your expertise is relevant
  • Transcripts of all degree results

Should you have any queries regarding the application process please contact Georgina Tennant: g.tennant@imperial.ac.uk

Closing Date: 13 October 2017

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

Two Research Assistants/ Associates

Two Research Assistants/ Associates

Fixed Term appointments for 12 months

Research Assistant salary in the range: £32,380 to £34,040 per annum
Research Associate salary in the range: £36,800 - £44,220 per annum

(Maximum salary on appointment will be £41,940 per annum)

We have an exciting opportunity for two post-doctoral Research Associates/Research Assistants to do theoretical and applied research on Big Data Security and Privacy incl. Differential Privacy as part of the OPAL project. This is a joint initiative at Imperial College between the Data Science Institute (DSI) https://www.imperial.ac.uk/data-science and the MIT Media Lab.
These are one year positions in the first instance, but there may be subsequent PhD opportunities.

The Data Science Institute (DSI) launched in April 2014 as Imperial College’s fifth cross-faculty Institute. The DSI provides a focal point for multidisciplinary data-driven research, supplying technology support for partners, and educating the next generation of data scientists.

The OPen ALgorithm project (OPAL) aims to develop a secure and transparent data-processing platform allowing large-scale location datasets to be used for good while preserving people’s privacy (http://www.opalproject.org/closer-look). Based on previous research by the Computational Privacy Group (CPG) showing the limits of data anonymization (e.g. http://www.nature.com/articles/srep01376), OPAL relies on an innovative model of “sending the (open) code to the data” and several privacy (incl. Differential Privacy and other formal privacy guarantees) and security (such as alg. verification, fuzzing) mechanisms to ensure that the data is used safely and anonymously. The project is developed alongside a set of operational partners with Imperial leading the development of the open-source platform and the research on data privacy and information security for the project.

You must have a strong interest in data privacy and information security, a good theoretical background in maths or statistics, and the ability to efficiently work with big data. Experience with private data analysis, privacy-preserving systems (PETs), or re-identification analyses and algorithms is a strong plus.

Key Responsibilities include; research and design, under the supervision of Dr de Montjoye, privacy and security mechanisms for the safe use of large-scale behavioural datasets such as location, research potential issues with existing data privacy and protection mechanisms incl. the design and development of re-identification algorithms and attack, supporting the implementation of the privacy and security features of the OPAL platform. 

To be appointed at Research Assistant level you must have a MSc (or equivalent) in applied maths, computer science, statistics, or a related subject. A similar background and PhD (or equivalent) is required for the post-doctoral position.

You will be based at the South Kensington campus.  All applicants must be fluent in English.

How to apply:

Our preferred method of application is online via: http://www3.imperial.ac.uk/employment  (please select “job search” then enter the job title or vacancy reference number EN20170322LE into “keywords”). 

Please include:

  • A college application form
  • A full CV
  • A 1-page statement indicating what you see as interesting research issues relating to the above post and why your expertise is relevant.

For queries regarding the application process contact Alice Ashley-Smith at: a.ashley-smith@imperial.ac.uk 

Closing Date: 13 October 2017

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

Two Research Assistants/Associates – Biomedical Image Analysis and Machine Learning

Two Research Assistants/Associates – Biomedical Image Analysis and Machine Learning

Research Assistant salary range: £32,380 to £34,040 per annum
Research Associate salary range: £36,800 to £44,220 per annum

Fixed Term appointments up to 31 August 2019

The BioMedIA group is part of the Department of Computing which is a leading department of Computer Science among UK Universities. Imperial College has the greatest concentration of high impact research of any major UK university, according to the Research Excellence Framework (REF) 2014. Imperial was also awarded “Gold” according the last Teaching Excellence Framework (TEF) 2017.

We are seeking to appoint two Research Assistant/Associates to develop image analysis tools as well as machine learning tools for the Developing Human Connectome Project (dHCP – http://developingconnectome.org). dHCP develops and applies novel, cutting-edge magnetic resonance (MR) methods to record structural and functional cerebral connectivity during early life, creating the first mapping of the developing human macro-connectome.

The successful candidates will help improve existing tools for image reconstruction and segmentation (including parcellation and cortical surface reconstruction) as well as contribute to the development of novel tools to process and analyse neonatal and fetal brain MR images. In addition to structural MR imaging, the dHCP project also acquires diffusion and functional MRI so expertise in the analysis of diffusion/functional MRI and/or brain connectivity would be useful.

At Research Assistant level you will need to have a good (1st or 2.1) undergraduate degree in a relevant discipline with a particular interest in medical image computing, computer vision or machine learning. Preference will be given to applicants with a proven track record in medical imaging and excellent programming skills. To be appointed at Research Associate level you must have been awarded a PhD (or equivalent) in a subject relevant to medical imaging with particular expertise in medical image computing, computer vision or machine learning.  

All applicants must be fluent in spoken and written English. You must have excellent communication skills and be able to organise your own work with minimal supervision and prioritise work to meet deadlines.  

You will be part of the Biomedical Image Analysis Group (BioMedIA) based at the South Kensington campus in London. The mission of the group is to develop novel, computational techniques for the analysis of biomedical images. For further information about the group and related projects see: http://biomedic.doc.ic.ac.uk/.

How to apply:

Our preferred method of application is online via our website at: http://www3.imperial.ac.uk/employment   

Please select “job search” then enter the job title or vacancy reference number EN20170299LE into “keywords”.  Please complete and upload an application form as directed.

Applications must include the following:

  • A college application form
  • A full CV
  • A two-page research statement indicating what you see are interesting research issues relating to the above post and why your expertise is relevant.
  • Any element relating your experience / passion for software engineering (blog, open source projects, github repositories and others) will be carefully inspected.

Should you have any queries regarding the application process please contact Georgina Tennant by email to: g.tennant@imperial.ac.uk

Closing Date: 4 October 2017

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

Two Research Associates (postdoctoral) in Software Testing, Security and Programming Languages

Two Research Associates (postdoctoral) in Software Testing, Security and Programming Languages

Research Associate salary range: £36,070 - £43,350 per annum*

Two full time, fixed-term appointments until 31 December 2020

To start 01 January 2018

The Department of Computing at Imperial College London is a leading department of Computer Science among UK Universities, and has consistently achieved top results in each of the research assessments undertaken by the Higher Education Funding Council for England. 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.

We are looking to hire two motivated postdoctoral Researchers to work at the intersection of software testing, security and programming language. The successful applicants will join the Software Reliability Group and the Multicore Programming Group under the direction of Dr Cristian Cadar and Dr Alastair Donaldson on a new project entitled Automatically Detecting and Surviving Exploitable Compiler Bugs.

The research will focus on understanding the extent to which compiler bugs — where a compiler silently emits incorrect code — are a threat to the reliability and security of critical infrastructure, and on methods for mitigating this threat by detecting potential issues ahead of time, or by detecting and surviving problems live, in a production environment.

To apply, candidates will need to have a strong computing background, experience in building and working with large software systems and tools, and proven knowledge in at least one of the areas of testing, security, and practical aspects of programming languages (such as compiler design and implementation). Candidates are also expected to have a proven research record and publications in the relevant areas. Applicants must have a PhD (or equivalent) in an area pertinent to the subject area.

Candidates will have excellent communication skills and be able to organise their own work with minimal supervision and prioritise work to meet deadlines. All applicants must be fluent in spoken and written English.

*Candidates close to completion of their PhD will also be considered, but will be initially appointed as Research Assistant within the salary range £32,380 - £34,040 per annum.

For informal inquiries about this position please contact Dr. Cristian Cadar and Dr. Alastair Donaldson. For further information on the Software Reliability Group and Multicore Programming Group, and related projects, see http://srg.doc.ic.ac.uk/ and http://multicore.doc.ic.ac.uk/.

Closing date: 18 October 2017

How to apply

Our preferred method of application is online via our website at the following link: http://www3.imperial.ac.uk/employment (select “Job Search” and enter the job reference no EN20170334LE. Please complete and upload an application form as directed and submit any other relevant supporting documents such as your full CV.

Applications must include the following:

  • An online college application form available at http://www3.imperial.ac.uk/employment Please complete and upload an application form as directed.
  • A full CV including a publication list.
  • A two-page research statement indicating what you see are interesting research issues relating to the above post and why your expertise is relevant.
  • Transcripts of all higher-education degree results.
  • The names and contact information of two or three referees who can provide letters of recommendation.

Should you have any queries regarding the application process please contact Ms. Georgina Tennant at g.tennant@imperial.ac.uk.

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.