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 in Computational Optimisation Research

Research Assistant/Associate in Computational Optimisation Research

Research Assistant salary range: £31,740 to £33,370 per annum
Research Associate salary range: £36,070 to £43,350 per annum*

Full time, fixed-term appointment for up to 36 months

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.

We are seeking to appoint a Research Assistant/Associate to work on the EPSRC-funded project GALINI: Global ALgorithms for mixed-Integer Nonlinear optimisation of Industrial systems.  This project develops and deploys a new, open-source mixed-integer nonlinear optimisation solver GALINI. We will develop decision-making tools for energy efficiency challenges in process systems engineering through novel advances in mixed-integer nonlinear optimisation (MINLP).

The successful applicant is expected to have expertise and a relevant track record in developing optimisation algorithms and implementations.  We aim to push the boundaries of computational tractability for process systems engineering energy efficiency applications via: decision-making on active network topology, integrating logic and optimization, and warm-starting discrete optimization.

To apply you will need to have a strong background in computer science. An ideal applicant will also have software development experience.

At the Research Assistant (pre-doctoral) level you will have a good first degree (or equivalent) or Master’s Degree (or equivalent) in an area pertinent to the research area. You should have proven knowledge and a track record in optimisation and process systems engineering research and will be expected to publicise your results in premier optimisation, process systems, and operations research venues.

At the Research Associate (post-doctoral) level you will have a PhD (or equivalent experience and/or qualifications) in a subject pertinent to the research area.

You must also 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. 

Post-doctoral candidates will participate in supervising PhD students. Both pre- and post-doctoral candidates will participate in supervising undergraduate and postgraduate project students and have an opportunity to contribute to the teaching mission of the department.

You will be working together with Dr Ruth Misener (r.misener@imperial.ac.uk) and her research team. The team belongs to the Computational Optimisation Group (COG) within the Imperial Department of Computing. Your work will be based at the South Kensington campus.  For further information on the group and related projects, see: http://wp.doc.ic.ac.uk/rmisener/ and http://optimisation.doc.ic.ac.uk.

*Candidates who have not yet been officially awarded their PhD will be appointed as Research Assistant within the salary range £31,740 - £33,370 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 EN20170088LE into “keywords”).  Please complete and upload an application form as directed.

Applications must include the following:

  • A college application form
  • A full CV
  • A 2-page research statement indicating what you see are interesting research issues relating to the above post and why your expertise is relevant

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

Closing Date: 28 April 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

Research Assistant/Associate in Science for Sensor Systems Software (S4)

Research Assistant/Associate in Science for Sensor Systems Software (S4)

Research Associate salary range: £36,070 - £43,350 per annum
Research Assistant salary range: £31,740 - £33,370 per annum*

Fixed term appointment until 31 May 2019

Imperial College is consistently in the top 10 world university ranking. The College achieved second place in the Complete University Guide’s Computer Science subject table for 2017. The Department of Computing 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.

We are seeking to hire a Research Associate/Assistant to contribute towards a unifying science for smarter sensor based systems. The ‘Science of Sensor Systems Software’ (S4) project aims to deliver new philosophies and techniques for the development and deployment of verifiable, reliable, sensor systems that operate in uncertain, multiple and multi-scale environments. Led by Julie McCann, Imperial’s particular focus in this project is the purposeful design and development of sensor test beds to understand, per design, their different behaviours under differing environmental conditions and demands, and in terms of hardware and software.

The S4 programme brings together researchers from the universities of Glasgow, Liverpool and St Andrews, and Imperial College London examining systems, dynamics, verification and modelling etc. It is motivated and validated by end-user and experimental applications involving ten organisations, including ABB, British Geological Survey, CENSIS, Freescale, Rolls-Royce, Thales, and Transport Scotland. (See: http://www.dcs.gla.ac.uk/research/S4/).

At Research Assistant level you must have an excellent first degree (or equivalent) in a relevant area. For a Research Associate position you must have a PhD (or equivalent) in an area pertinent to the subject areas above. Preference will be given to applicants with a proven research record and publications in A-ranked venues in relevant areas. Proven knowledge and track record in computer science formalisms combined with systems engineering is essential.

You must have excellent communication skills and be able to organise your work with minimal supervision and prioritise work 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

*Candidates who have not yet been officially awarded their PhD will be appointed as Research Assistant within the salary range £31,730 - £33,370 per annum.

How to apply

Our preferred method of application is online via our website http://www3.imperial.ac.uk/employment (Select “Job Search” then enter the job title or vacancy reference number EN20170093LE into “Keywords”).  Please complete and upload an application form as directed.  You must submit an application form for our posts along with a CV, if you do not fill in an application form, you will not be considered.

Applications must include:

  • A college application form 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.
  • Additionally please include any material from your past work that you would like us to consider such as significant papers or thesis.

For applications queries please contact Georgina Tennant at g.tennant@imperial.ac.uk

Closing Date: 5 May 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

Research Assistant/Research Associate (Visual Analytics) at the Data Science Institute

Research Assistant/Research Associate (Visual Analytics) at the Data Science Institute

Research Assistant salary in the range: £31,740 to £33,370 per annum
Research Associate salary in the range: £36,070 to £43,350 per annum

Full-time, fixed term contract up to 31st January 2018 with possible extension

To start as soon as possible

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

We are seeking to hire a Research Assistant/Associate to work at the Data Science Institute with the founding Director Professor Yike Guo and his team.  The Researcher will be an exceptional developer (e.g. javascript, C#), and will assist with the development of a novel distributed visualisation framework which will have worldwide impact and result in journal publications. This role would particularly suit applications from developers in the games industry and related fields.

We are seeking an exceptional software engineer to design and integrate software for a unique new facility, the KPMG Data Observatory. The DSI, Imperial College’s fifth cross-faculty Institute, is providing a focal point for multi-disciplinary data-driven research. The DSI houses the KPMG Data Observatory, a world class circular immersive visualisation environment featuring 132 megapixels of display surface powered by a parallel rendering system. It constitutes a decision-making space and for large scale visualisation research.

As part of this role you would support researchers and industry professionals in their interaction with the Data Observatory and guiding their development of content for the observatory. This will involve some level of public engagement and hosting of delegations.

The successful candidate must have an exceptional aptitude for analytical and critical thinking about the nature and implications of data and scientific evidence, superior programing skills, strong communication, design and aesthetic capabilities, motivation for problem solving and aptitude for interdisciplinary research and teamwork.

At Research Assistant level, you will have a good first degree (or equivalent) or Masters (or equivalent) in a related area. At Research Associate level, you must have a PhD (or equivalent) in computer science, applied mathematics, software engineering, graphic technologies and design, informatics, or a related subject or significant experience in a relevant field. You must have excellent communication skills and be able to organise your own work and prioritise work to meet deadlines. All applicants must be fluent in spoken and written English.

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 EN20170100LE into “keywords”).  Please complete and upload an application form as directed. This post was previously advertised under reference number EN20170043LE.

Applications must include:

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

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

Closing Date: 24 April 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

Research Assistant/Research Associate

Research Assistant/Research Associate

Research Assistant salary in the range: £31,740 to £33,370 per annum
Research Associate salary in the range: £36,070 to £43,350 per annum

Fixed Term position up to 31st March 2018

We have an exciting opportunity for a Research Assistant/Associate to work at the Data Science Institute with the founding Director Professor Yike Guo and his team.

This is an exciting opportunity to join an enthusiastic team and a wider community of neuroscientists, clinicians, bioinformaticians, informaticians and research scientists to develop the precision medicine software infrastructure for the clinical multiple sclerosis management project OPTIMISE-MS. The project involves the integration of several open source data management tools – including the award-winning tranSMART data management platform and XNAT (https://www.xnat.org/) for medical images management – together into a platform for applications in multiple sclerosis research. This is one of the largest MS precision medicine projects in the country and has global impact. This is a great opportunity for someone interested in precision medicine and especially neuroinformatics to work with top clinical neurology groups from across the UK.  The researcher will work closely with partner clinicians to understand requirements of the informatics infrastructure.

At Research Assistant level you must have a good first degree (or equivalent) or Masters (or equivalent) in a related area.  At Research Associate level you must have a PhD (or equivalent) in computer science, engineering, informatics or biomedical and/or biostatistics discipline or significant experience.

You must have a proven track record of biomedical data management and analysis, experience in handling/processing large and complex datasets, solid knowledge of big data and data warehouse technology and a good knowledge of modern programming languages (Java, Python) and cloud computing management technology (e.g. Docker, openstack).  Experience working with SQL and UNIX/LINUX is also required. 

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: http://www3.imperial.ac.uk/employment (please select “job search” then enter vacancy reference number EN20170124LE 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 Georgina Tennant: g.tennant@imperial.ac.uk

Closing Date: 30 May 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 in Networks of Sensors and Actuators for Infrastructure Monitoring and Control

The Alan Turing Institute

Two Research Assistants/Associates in Networks of Sensors and Actuators for Infrastructure Monitoring and Control

Research Associate salary range: £36,070 - £43,350 per annum
Research Assistant salary range: £31,740 - £33,370 per annum*

Fixed term appointments to 31 May 2019

Imperial College is consistently in the top 10 world university ranking. The Department of Computing is a prominent 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.

We are seeking to hire two Research Assistants/Associates to join the Enhancing Critical Ecosystems Project, led by Prof Julie McCann as part of the Data Driven Engineering Programme in the Alan Turing Institute. This programme, funded by the Lloyd’s Register Foundation, is performing fundamental research and ground-breaking innovation in the applications of data science to improve infrastructure resilience and safety in society, while developing scientific advances that will have international impact for years to come (See https://www.turing.ac.uk/data-centric-engineering/).

The Enhancing Critical Ecosystems project aims to explore how combinations of sensing instrumentation, actuation, and a spectrum of edge-to-cloud data processing will improve and protect critical assets within ecosystems. The two ecosystems of focus are Next Generation Water Distribution Systems and Next Generation Smart Precision Farming, however the aim is to produce systems, algorithms and protocols that can serve more general ecosystems.

At Research Associate level you must have a PhD (or equivalent) in an area pertinent to the relevant research are. For a Research Assistant position you must have an excellent first degree (or equivalent) and relevant experience in sensor networking and systems engineering. Preference will be given to applicants with papers published in appropriate A-rated venues.

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

You will be based at both The Alan Turing Institute headquartered at the British Library and at Imperial Colleague’s South Kensington campus. 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

*Candidates who have not yet been officially awarded their PhD will be appointed as Research Assistant within the salary range £31,740 - £33,370 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 EN20170114LE into “keywords”).  Please complete and upload an application form as directed.

Applications must include:

  • A college application form
  • 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.
  • Any material from your past work that you would like us to consider such as significant papers or thesis.

For applications queries please contact Georgina Tennant at g.tennant@imperial.ac.uk  

Closing Date: 26 May 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