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Vacancies

Data Observatory Systems Architect

Data Observatory Systems Architect
Imperial College London - Data Science Institute
Salary: £35,850 to £44,220 per annum
Hours: Full Time
Fixed term appointment for 2 years

The Data Science Institute launched in April 2014 as Imperial College’s fifth cross-faculty Institute and provides a focal point for multidisciplinary data-driven research, supplying technology support for partners, and educating the next generation of data scientists. The Institute hosts the Data Observatory, featuring an enveloping circular wall of 64 monitors powered by 40 computers facilitating 313 degrees of surround vision - the largest of its kind in Europe. It was designed to bring multi-disciplinary teams of academics together into one space to visualise and interrogate data. The DO has been used in a range of capacities from an ‘impact’ space for showcasing research and experimental environment for behavior analysis as well as an education tool for executive education and college students. The DO runs at near full capacity. We have carried out over 15 joint projects, built up 30 visualisation systems, and hosted over 500 external group visits.

An exciting opportunity has arisen for a Systems Architect to undertake the development of the Data Observatory (DO) architecture and systems, ensuring that platforms upon which the Observatory is running is constantly maintained and improved upon for the benefit of research. The post holder will be an excellent software developer and will form an important part of the DSI infrastructure group, helping the DSI to maximise the use of the DO as a research environment.

Working with the Director of the Institute, the post holder will understand the needs of the DSI research team and will be able to develop novel tools and provide software solutions to enable world-class data science research to take place. Alongside the DSI Director, they will be responsible for determining priorities and ensure that the systems produced are fit for purpose for a wide range of end users. This post provides a unique opportunity for an experience programmer to lead in the design of a world class facility.

Applicants should have strong software development skills. You should also have a good understanding of developing client-server software solutions, distributed systems and computational complexity, including understanding scalability, performance reliability and their difficulties.

You will be based at the South Kensington campus. For information on the group see: https://www.imperial.ac.uk/data-science/. Job description and person specifications Observatory Systems Architect

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 EN20170378SA into “keywords”). Please complete and upload an application form as directed.

Applications must include the following:

A college application form
Please quote job reference number EN20170378SA on the application form

Should you have any queries regarding the application process please contact Fay Miller: f.miller@imperial.ac.uk

Closing Date: 30 October 2017 (midnight GMT)

HNA Centre Manager

HNA Centre Manager
Salary in the range: £45,400 to £54,880 per annum
Fixed Term position until 31 August 2022
South Kensington Campus

We have an exciting opportunity for a Centre Manager to work at the Data Science Institute with the founding Director Professor Yike Guo and his team.
Imperial College have recently signed a five year agreement with HNA to establish the HNA Research Centre for Future Data Ecosystems.

The aim of the Centre is to promote theory and technology development and innovation in the field of data economy and it is expected that the Centre will:
• build the infrastructure for future data economy
• innovate and develop data capital and data products
• research and apply technologies in artificial intelligence

The Centre will generate and be responsible for the management of interdisciplinary research projects across a spectrum of issues where data economy, AI and Blockchain projects. The post-holder will be central to the effective management of these programmes and in building confident and trusting relationships with the funders and researchers involved.
The overall purpose of this role is to lead the operational and research project management of the Centre. The position will oversee the day-to-day activities of the Centre and ensure the research projects are delivered such as to optimise their successful exploitation, whilst also contributing to the long term strategic direction of the partnership.
The role will be exciting and multifaceted. The post holder will play a crucial role in the establishment of the new Centre at Imperial College. As such, the post holder will be expected to undertake multiple streams of work, including coordination of research projects (in a managerial capacity) and the monitoring and capturing of best practices. Working with academics from across the College’s Faculties and researchers at HNA, they will be able to contribute to the writing of compelling research projects and their successful delivery. Exceptional communication skills will be required as the post holder will be responsible for communicating with senior HNA and College management, maintaining the strong relationship with HNA through establishing excellent links between the two organisations. They will also be responsible for managing the £3m budget, ensuring that the funding is distributed across multiple projects and maximised to achieve the strategic aims of the Centre. The post holder will be able to actively contribute to the research direction and outcomes of the Centre, by working with academic staff at both HNA and Imperial to ensure world-class research results.

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

Imperial Expectations guide the behaviour of all our staff.

Committed to equality and valuing diversity. We are also an Athena SWAN Silver Award winner, a Stonewall Diversity Champion, a Disability Confident Employer and are working in partnership with GIRES to promote respect for trans people.
Closing Date: 31 October 2017 (midnight BST)
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 EN20170367LE 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.
Please note that CVs should only be submitted for Academic posts and must be accompanied by an application form.

For all other posts, including Research and Administrative and Support posts, please submit an application form only, unless requested otherwise.
Administrative and Support application form
HNA Lab Manager position.

For queries regarding the application process contact Alice Ashley-Smith a.ashleysmith@imperial.ac.uk



PhD opportunity - Supporting human insight with AI in urban master plan design space exploration

Supporting human insight with AI in urban master plan design space exploration
 
 We have an exciting PhD opportunity with the Data Science Institute and Arup (http://www.arup.com) – a really really interesting company.  If you are interested, please get in touch.  If you know someone who might be interested please pass this email on to them.  Candidates will need a first-class MEng, MSci degree or distinction at MSc. 
 
Supervisors:
Prof Paul Kelly (Software Performance Optimisation Group, Dept of Computing, Imperial College London, http://www.imperial.ac.uk/people/p.kelly)
Dr David Birch (Data Science Institute, Dept of Computing, Imperial College London, http://www.imperial.ac.uk/people/david.birch)
This is a collaborative research project with Alvise Simondetti of Arup’s Foresight team (http://www.driversofchange.com/about/team/alvise-simondetti/).
 
Design is the process of balancing competing concerns – aesthetically and in performance across many objectives, e.g. reducing carbon emissions within a cost budget. Analysing design performance often relies upon computationally intensive analysis models (ray tracing for lighting, computational fluid dynamics for acoustics and pollution dispersal). Such expensive models make exploring the vast design space intractable and frequently only a couple of designs are quantitatively analysed. This means opportunities to shape a better world are missed.
 
The goal of this project is to develop novel tool support for tackling architectural design problems, focusing initially on urban masterplanning.  The key challenge is not outright automation or optimisation, but rather supporting humans in deriving insight, particularly to understand the most profitable and flexible parts of the design space.  We propose to extend our prior work with with Arup in this field with techniques from statistical machine learning, in particular the idea of Kriging (also known as Gaussian process regression) to derive a simplified “proxy” model that can be evaluated quickly.  Such models should help offer instant, interactive design feedback, as well as enabling us to identify the statistically most likely-profitable directions for further exploration, with respect to multiple design objectives.   
 
This project is funded under the EPSRC’s Industrial CASE scheme, which supports collaborative research which is based in the university but benefits from regular contact and guidance from our industry partner, Arup.
 
 
If you’re interested, please email Paul Kelly with your CV with a short covering email explaining why you think this might be for you – as soon as possible.

Research Assistant / Research Associate (Data Analyst)

Research Assistant/Associate (Data Analyst)  
Research Assistant salary: £32,380 to £34,040 per annum*
Research Associate salary in the range: £36,800 - £44,220 per annum
South Kensington Campus
Fixed Term until 29 March 2019

We have an exciting opportunity for three post-doctoral Research Assistant or Research Associate positions at the Date Science Institute with the founding Director Professor Yike Guo and his team.

The Research Assistant/Research Associate will join an enthusiastic team and a wider community of research scientists, pharmaceuticals, bioinformaticians and IT experts to develop analytical models to support a number of projects within the Data Science Institute.

Examples of existing projects that the post holder may work on include eTRIKS (European Translational Information & Knowledge Management Services) funded by the EU IMI (Innovative Medicines Initiative) and Biovacsafe.

eTRIKS (www.etriks.org) is an ongoing project that is developing a knowledge management software infrastructure to manage clinical studies of new drug treatments and perform bioinformatics analysis in areas such as genomics, transcriptomics, proteomics and metabolomics. This is one of the largest informatics projects in the world. The group has a successful track record of research at the interface between computing, statistics, mathematics and biology.

The BioVacSafe project is a public-private consortium researching this issue. It consists of partners from experts form Europe's leading vaccine producing companies, major academic institutions and non-governmental organizations. It draws upon the latest life science research findings to profile how individuals respond to different components of vaccines at the cellular, genetic and molecular levels. This will allow to identify whether a candidate vaccine might lead to adverse reactions. Further, the consortium will develop new ways to identify, classify and record these adverse reactions.

The DSI collaborates on many more medical related data driven programmes, of which further information can be found on our website.

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 bioinformatics, biology, computer science or significant experience.

You must have a proven track record of biomedical research, experience in handling/processing large and complex datasets, good knowledge of modern statistical programming languages (e.g R, MatLab), programming languages (e.g. Java, Perl, Python) and 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.

*Candidates who have not yet been awarded their PhD will initially be appointed at the Research Assistant (pre-doctoral) level within the salary range £32,380 - £34,040 per annum.

Imperial Expectations guide the behaviour of all our staff.

Committed to equality and valuing diversity. We are also an Athena SWAN Silver Award winner, a Stonewall Diversity Champion, a Disability Confident Employer and are working in partnership with GIRES to promote respect for trans people.

Closing Date: 23 October 2017 (midnight BST)
How To Apply
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 EN20170374LE 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.

Research application form

Should you have any queries please contact:
Georgina Tennant - g.tennant@imperial.ac.uk
Job Description and Person Specification
If, when attempting to open a job description or application form, a connecting to workspace box appears, please press the cancel button on the box and the document will open.

Research Assistant / Research Associate (Data Scientist/Application Scientist)

Research Assistant / Research Associate (Data Scientist/Application Scientist)
Salary at Research Assistant level: £32,380 - £34,040 per annum
Salary at Research Associate level: £36,800 - £44,220 per annum*
South Kensington Campus
Fixed Term appointment until 31 March 2019 in the first instance

We have an exciting opportunity for a Research Associate (Data Scientist/Application Scientist) to work on a joint initiative at Imperial College between the Data Science Institute (DSI) https://www.imperial.ac.uk/data-science , the Institute for Translational Medicine and Therapeutics (ITMAT http://imperialbrc.nihr.ac.uk/facilities/institute-of-translational-medicine-therapeutics/) Data Science Group https://www.imperial.ac.uk/itmat-data-science-group and the Division of Brain Sciences to develop a “Big Data” translational platform for data curation, quality control and standardized analysis of complex clinical, environmental, lifestyle, imaging and ‘omics’ data. Intended initially to rapidly enable more efficient exploitation of the UK Biobank (http://www.ukbiobank.ac.uk) dataset hosted at Imperial College, the initial focus will be on diseases of the brain, particularly including late-life dementias

The post is supported by the NIHR Imperial Biomedical Research Centre (BRC) http://imperialbrc.nihr.ac.uk/ and the Division of Brain Sciences in the Faculty of Medicine https://www.imperial.ac.uk/department-of-medicine/research/brain-sciences/ .

The post holder will have multiple opportunities along the course of the project to build expertise on a wide range of phenotypic, imaging and omics data for biomedical and clinical research, as well as to master a multitude of analytical tools, open-source platforms and frameworks including the tranSMART knowledge management platform, cloud computing technologies, machine learning, and large-scale data visualization.

The successful candidate will be expected to exploit and contribute to the refinement of integration and analysis methods for high-throughput data, with a particular emphasis on integrating genomic, imaging and clinical measures and carrying out needed curation effort. The post holder will work closely with clinicians to understand their needs and research questions.

To apply you must have a PhD (or equivalent) in an area pertinent to the research subject e.g. computer science, applied mathematics, informatics, or a related subject or significant experience in relevant field. You should have a track record of biomedical research with solid knowledge in handling/processing large and complex datasets; ability to conduct and complete research and development projects, working knowledge of modern analytical programming languages (e.g. R, Matlab, Python toolkits) and programming languages (e.g. Java, Perl, C/C++); basic shell scripting in UNIX. Previous experience with SQL is a plus.

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.

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

Imperial Expectations guide the behaviour of all our staff.

Committed to equality and valuing diversity. We are also an Athena SWAN Silver Award winner, a Stonewall Diversity Champion, a Disability Confident Employer and are working in partnership with GIRES to promote respect for trans people.

Closing Date:  22 October 2017 (midnight BST)

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 EN20170335LE 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
Research application form

Should you have any queries please contact:
Fay Miller - f.miller@doc.ic.ac.uk

Job Description and Person Specification

If, when attempting to open a job description or application form, a connecting to workspace box appears, please press the cancel button on the box and the document will open

Research Associate (Visual Analytics in Healthcare research)

Research Associate (Visual Analytics in Healthcare Research)

Imperial School of Medicine and Data Science Institute

Salaryrange: £36,800 to £44,220 per annum

Fixed term appointment for 12 months

This post is an exciting chance for an exceptional developer to join our research team and develop novel visualisations using real-world healthcare data. The post will be joint hosted by the Data Science Institute (www.imperial.ac.uk/data-science/ ) and the National Institute for Health Research Health Protection Research Unit in Healthcare Associated Infections and Antimicrobial Resistance at Imperial College London (www.imperial.ac.uk/medicine/hpru-amr ). The candidate will have the opportunity to work with the highest resolution immersive visualisation studio in Europe.

The post holder will be responsible for the design, development, and implementation of an effective, dynamic, interactive visualization framework and applications for large-scale visualization of data. They will be expected to contribute to architecture and technology discussions within the development team and to support researchers and partners in both host teams in their development of content for the observatory, ensuring successful visualisation projects are delivered to a high research and technical quality.

The successful candidate must have an exceptional aptitude for analytical and critical thinking about the nature and implications of data and scientific evidence, as well as superior programing skills and design and aesthetic capabilities. The appointee will have strong communication skills, motivation for problem solving and aptitude for interdisciplinary research and teamwork. Substantial experience in software development (e.g. python, javascript, C#) would be advantageous. A strong understanding of distributed software applications, including scalability, performance, and reliability aspects alongside good knowledge of design patterns and OOD will be required

You will be expected to have a PhD (or equivalent experience) in computer science, software engineering, graphic technologies and design, informatics, or a related subject or significant experience in a relevant field.

Willingness to travel between campuses is essential as is a flexible approach to work in order to meet the requirements of the project.

This post is full time and is available fixed term for one year.

For queries about this position, please contact Ceire Costelloe (ceire.costelloe@imperial.ac.uk ) or David Birch (david.birch@imperial.ac.uk).

Our preferred method of application is online via our website www3.imperial.ac.uk/employment (please select “Job Search” then enter the job title or vacancy reference number including spaces – HM2017163 into “Keywords”). Please complete and upload an application form as directed.

Closing date: 22nd October 2017

Imperial Expectations guide the behaviour of all our staff.

Committed to equality and valuing diversity, we are also an Athena SWAN Silver Award winner, a Stonewall Diversity Champion, a Disability Confident Employer and are working in partnership with GIRES to promote respect for trans people.

The College is a proud signatory to the San-Francisco Declaration on Research Assessment (DORA), which means that in hiring and promotion decisions, we evaluate applicants on the quality of their work, not the journal impact factor where it is published. For more information, see https://www.imperial.ac.uk/research-and-innovation/about-imperial-research/research-evaluation/

Stakeholder Engagement Manager

Stakeholder Engagement Manager
Salary in the range: £45,400-£54,880 per annum
South Kensington Campus
Full-time and fixed-term for 24 months

The Data Science Institute seeks an outstanding individual to establish and maintain strong relationships with internal academic staff with the goal of increasing the impact and communication of Data Science research at Imperial. This will involve assisting with new grant applications, supporting our academic labs in advancing their research programmes, managing the DSI fellowship programme and creating a new series of White Papers. The Papers will shape the discourse in data science and play a key role in communicating the depth and breadth of Imperial’s expertise and insight to other stakeholders.

This new post is an exciting opportunity to contribute to a recently established and fast growing global institute at Imperial, whose goal is to establish a new collaborative approach to grand challenge problems with a data science dimension. Alongside traditional academic departments, these institutes are intended to be the hub for facilitating college’s multidisciplinary research, interfacing with a wide range of external partners and stakeholders and to lead the College's input to policy setting across government and business.

The DSI Stakeholder Engagement Manager will support the communication of the diverse range of data science research at Imperial. This will include planning, writing and dissemination of such grant applications, news articles and White Papers for the DSI. The postholder will work closely with academics across the university to craft exceptional papers that meet the interests of our desired audiences. A core part of the role will be to identify and consult key stakeholders and disseminate the papers effectively to reach the desired audience. This role would suit an ambitious individual with a strong scientific or technical background who is keen to gain experience in science communication and to develop a compelling vision for the future based on scientific advances. You will need to have a good undergraduate level or Masters degree, (or equivalent) in a science or engineering subject.

You will be based at the South Kensington campus. For information on the group see: http://www.imperial.ac.uk/data-science/
All applicants must be fluent in English.

The College cannot normally apply for a Certificate of Sponsorship for this post under Tier 2 of the UKVI’s Points Based System. Any candidate, who is considering applying for this position and requires sponsorship, must ensure that they are able to obtain permission to work in the UK through an appropriate immigration route.
Imperial Expectations guides the behaviour of all our staff.

Committed to equality and valuing diversity. We are also an Athena SWAN Silver Award winner, a Stonewall Diversity Champion, a Disability Confident Employer and are working in partnership with GIRES to promote respect for trans people.
Closing Date  30 October 2017 (midnight BST)
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 EN20170160LE into “keywords”).

Please include:
• A college application form
• A full CV

Administrative and Support application form

For queries regarding the application process contact Fay Miller at: f.miller@imperial.ac.uk
Job Description and Person Specification
If, when attempting to open a job description or application form, a connecting to workspace box appears, please press the cancel button on the box and the document will open.

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