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Vacancies

Research Associate (SmartHeart)

Department of Computing, Data Science Institute
Research Associate (SmartHeart)
 Research Associate salary in the range: £37,904 to £43,198 per annum
*Research Assistant salary range £33,380 to £35,061 per annum
Fixed Term position until 31 December 2020
Closing Date: 14th January 2019

 Job Summary

The Data Science Institute (DSI), headed by Professor Yike Guo, is seeking an exceptional scientist to join an enthusiastic team to develop large-scale medical imaging data analysis algorithms.

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

The successful candidate will be expected to work on the EPSRC SmartHeart project to develop machine learning techniques that in combination with rich multimodal imaging data can be used to build a predictive model of cardiac diseases and its associations with cardiac shape and motion. The project aims to integrate the developed techniques into a large-scale data warehouse and analysis algorithms.

Duties and responsibilties

You will be expected to fully collaborate with team members and collaborating with partner biomedical research projects on data analysis and management; providing training/support to technical and non-technical end-users; contributing to the dissemination of work within the group and also externally at national and international conferences by presentation, publication and demonstration. 

The successful candidate will be expected to: develop novel machine learning algorithms for analysis of cardiac MR images and integrate the developed techniques into a large-scale data warehouse and analysis platform based on the XNAT and tranSMART platform, providing clinicians with a unified platform for clinical study; develop automatic pipeline for data integration and analysis; and to develop an intuitive web based interface to enable clinicians who may have little IT background to visualise population-level medical images and corresponding analysis results (such as segmentation results or phenotype statistics) and to retrieve cases of clinical interests.

Essential requirements

To apply you must have a PhD (or equivalent) in a subject relevant to medical imaging, computer science, electrical engineering, and software engineering with particular expertise in medical image analysis, computer vision or machine learning. You should have a track record of medical imaging, image analysis, machine learning and data management.

A proven research record with publications in the relevant areas is also required. You must be fluent in English. 

Further information

*Candidates who have not yet been officially awarded their PhD will be appointed as Research Assistant within the salary range £33,380 to £35,061 per annum.

How to apply:

Via our website at https://www.imperial.ac.uk/jobs  and search using vacancy reference number ENG00607. In addition to completing the online application, candidates should attach:

A full CV

A 1 page statement indicating why your expertise is relevant
For queries regarding the application process contact Fay Miller f.miller@imperial.ac.uk
For technical issues when applying online, please contact: erecruitment@imperial.ac.uk

Closing date: 14th January 2019

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.

3x Research Fellow (Machine Learning)

Salary: Level C £42,065 - £52,002
Location: South Kensington Campus
Closing Date: 16 December 2018
Full time Fixed Term for 24 months

Job Summary

Are you an excellent data scientist with a clear research vision looking to secure a personal fellowship and lead a research group? The Data Science Institute (DSI) at Imperial College wishes to nurture the next generation of outstanding researchers and invites applications for an attractive and flexible fellowship scheme for those wishing to develop an independent research career. The DSI will cover the cost of your salary, commensurate with experience, for up to 24 months, with modest consumables, whilst you develop and submit a strong application(s) for an independent externally funded fellowship to build up your research leadership at the DSI. This fellowship programme aims to build up a strong academic base at the DSI by cultivating early career data scientists to be future academic staff.

Duties and responsibilities

• You will develop compelling and original research in Machine Learning and/or its applications;
• You will lead programmes of research, developing research proposals and funding bids and be successfully awarded them;
• You will take initiatives in the planning and leading of research of the DSI;
• You will direct the work of small research teams, supervising and taking responsibility for the research teams;
• You will be engaged in cutting edge applied data science research;
• You will publish research papers in peer-reviewed journals;
• You will attend and present research at international conferences;
• You will promote the reputation of the Institute and the College;
• You will develop contacts and research collaborations within the College and the wider community;
• You will take initiative in building industrial partnerships;
• You will supervise postdoctoral researchers, postgraduate students and undergraduate research projects;
• You will play a key role in the development and delivery of the DSI’s postgraduate education programmes;
• You will be committed to personal development in order to succeed in career progression.

Essential requirements

We are looking for researchers at any stage of their career who have:
• A very good academic track record including a first or upper second class degree and a PhD in computer science or a closely related discipline, or equivalent research, industrial or commercial experience;
• Demonstrated an excellent start to their research careers, in either research or industry background;
• Strong research or practical record in the area of machine learning and/or its applications;
• Excellent oral and written communication skills;
• Publications in high quality journals;
• Presented work at significant conferences;
• The ability to demonstrate a clear research vision and the ability to propose research projects;
• Strong leadership and management skills;
• A commitment to personal development;
• Deep knowledge of the foundation of machine learning and AI in general;
• Knowledge of modern statistical programming languages;
• Knowledge of modern programming languages.

Further Information

This is a full-time, fixed-term position for 24 months.
Research Fellow (Machine Learning)

How to apply:

For further details on this opportunity visit www.imperial.ac.uk/jobs/ and search using vacancy reference number ENG00600. In addition to completing the online application, candidates should attach:

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.
Should you require any further details on the role please contact: Emma Bowman, DSI Operations Manager: e.bowman@imperial.ac.uk.
For technical issues when applying online please email recruitment@imperial.ac.uk

Support provided
We will provide mentorship from world-leading academics to enable you to reach your full potential. We also offer a very supportive environment for you to develop your research career, with full access to training courses and staff support within the College, including the award winning Postdoc and Fellows Development Centre and the Learning and Development Centre. You will be entitled to 10 days learning and development per year and will have access to a range of courses and workshops, as well as support for developing your fellowship application(s) and mock interviews.

Data Science Institute
The DSI is a global challenge institute, formed to harness the talents of a wide variety of researchers across Imperial College to address some of the world’s most important issues. Imperial College London has chosen ‘leading the data revolution’ as a key research theme in its 2016-2021 strategy and the Data Science Institute has been created to act as a focal point across the College to address this topic. Our aim is to create a world class data science research base at Imperial College and foster collaboration and innovation in data driven research and education on a global scale. We welcome applications from all candidates whose research interests encompass Machine Learning and/or its applications. For more information on the research interests within the DSI please visit the DSI website.
The DSI has a strong track record in securing funding from a wide variety of funders including research councils and industry.

Software Developer

Department of Computing, Data Science Institute

Research Assistant/Associate (Software Developer)
Fixed Term appointment for 12 months
Research Assistant salary: £33,380 to £35,061 per annum
Research Associate salary: £37,904 to £45,547 per annum

Closing date: 20 January 2019

Job Summary

We have an exciting opportunity for a Research Associate/Assistant to work on a joint initiative at Imperial College between the Data Science Institute (DSI) https://www.imperial.ac.uk/data-science, the Imperial NIHR Brain Sciences Theme - Division of Brain Sciences and the Institute for Translational Medicine and Therapeutics (ITMAT) Data Science Group https://www.imperial.ac.uk/itmat-data-science-group to develop a “Big Data” translational platform for curation, quality control, hosting and processing of complex imaging and relational data in the context of Healthcare research.

The translational platform is envisioned as a tool developed particularly to enable non-data science specialists to visualize and interrogate such large, complex datasets. The translational platform will lay the foundation for the development of transformative tools for high-quality, reproducible data-analytics-driven clinical research for discovery of modifiable risk factors, evidence for personalized approaches to treatment and monitoring medicine and new early markers of disease. 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 Brain Sciences Theme (http://imperialbrc.nihr.ac.uk/research/brain-sciences ) and the NIHR Imperial BRC Institute for Translational Medicine and Therapeutics (ITMAT) (http://imperialbrc.nihr.ac.uk/facilities/institute-of-translational-medicine-therapeutics), both of which are committed to accelerate the translation of pre-clinical research into knowledge to guide more healthy living and improved diagnostics and treatments for disease.

 Duties and Responsibilities

  • Contributing to the development and implementation of the platform
  • Use rigorous methods for version control and documentation of analysis workflows and their  parameterization.
  •  Consulting and collaborating with expert partners to develop highest quality or innovative approaches to data processing.
  • Working closely with partner to understand their requirements for the informatics infrastructure and the analysis pipelines best suited to research questions in this area.
  •  Providing training/support to technical and non-technical end-users wishing to exploit the complex datasets and analytical methods.
  • To undertake any necessary training viewed as required for compliance or satisfactory progression of the project by the line manager.
  •  Any other duties commensurate with the grade of the post as directed by the line manager / supervisor.

Essential Requirements

  • At Research Assistant level: A good first degree (or equivalent) or Masters (or equivalent) in a related area, with a particular interest on medical image computing and machine learning. 
  • At Research Associate level: A PhD (or equivalent) in a subject relevant to computer science, with particular expertise in medical image analysis, computer vision or machine learning.
  • Experience in modern JavaScript development (ES6, Typescript)
  • Experience in using development/versioning tooling (VSCode, NPM, GitHub, etc.)
  • Experience with UNIX systems
  • Experience with orchestration technologies (Docker, Kubernetes)
  • Good understanding of CI/CD procedure and tools
  • Experience with NoSQL data base (MongoDB, Cassandra) would be a plus

Further information

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

Software Developer

How to apply:

Our preferred method of application is online via:  www.imperial.ac.uk/jobs  and search for ENG00627

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.

Closing date: 20th January 2019

Research Associate Data Analyst

Department of Computing, Data Science Institute
Data Analysis
Research Associate
Fixed Term for 24 months
Research Associate salary in the range: £37,904 - £45,547 per annum
*Research Assistant salary in the range:  £33,380-£35,061
Closing date: 20th January 2019

Job Summary

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

The Research Associate will be working on the newly funded PIONEER project, which aims to bring together comprehensive datasets that consists of the most relevant prostate clinical trials and registries, large epidemiological cohorts, electronic heath records, and real-life data from different European (and non-European) patient populations. These unique data sets will be integrated, standardised, harmonised and analysed using approaches that are built on our experience of similar previous IMI projects i.e EMIF, and eTRIKS, and analysed using a unique set of methodologies and advanced analytics methods (OMOP, eHS).

You will be expected to coordinate the DSI part of the project at consortium meetings.

Duties and responsibilities

You will be expected to provide;

  • To lead the development and implementation of integration, analysis and visualisation methods for high-throughput biomedical data.
  • To contribute to the necessary curation effort to build medical knowledge bases.
  • Establish an omics analysis platform to allow researchers to combine clinical and omics group data for biomarker and other omic-based research.
  • Provide tools for the curation and harmonisation of the data hosted on the various platforms, and most importantly, provide training to the consortium on how to use these tools.
  • Provide input into the development of novel informatics tools.
  • To consult and collaborate with medical partners in research projects on data analysis.
  • To collaborate with team members to develop and provide software and analyses

Essential requirements

  • At Research Associate level: A PhD (or equivalent) in bioinformatics, biology, computer science or significant experience
  • Candidates who have not yet been officially awarded their PhD in in bioinformatics, biology, computer science or significant experience will be appointed as *Research Assistant within the salary range £33,380 to £35,061 per annum.
  • Significant software development experience with an emphasis on large-scale scientific data management
  • Good knowledge of modern statistical programming languages (e.g R, MatLab) and programming languages (e.g. Java, Perl, Python)
  • Experience working with SQL and UNIX
  • Experience in handling/processing large datasets
  • Experience in biomedical research
  • You must have excellent verbal and written communication skills.
  • Experience of dealing with specific groups of people, e.g. sponsors, patients

Further information

How to apply:

Via our website at https://www.imperial.ac.uk/jobs  and search using vacancy reference number: ENG00638.  In addition to completing the online application, candidates should attach:

A full CV

A 1 page statement indicating why your expertise is relevant

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

For technical issues when applying online, please contact: erecruitment@imperial.ac.uk

Closing date: 20th January 2019

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 Fellow in Data Analysis

Salary: £42,065 - £55,002
Location: South Kensington Campus
Full time, Fixed term for 24 months
Closing date: 16th December 2016

Job Summary

 Precision healthcare seeks to deploy therapies that are sensitive to the particular genetic, lifestyle and environmental circumstances of each patient. Understanding how best to use these numerous features about each patient is a true mathematical challenge. The EPSRC Centre for Mathematics of Precision Healthcare will bring together mathematicians with researchers in computing, engineering and medicine. Funded with a £2 million grant from the Engineering and Physical Sciences Research Council, researchers will take data from the healthcare sector and turn it into information and tools that are useful to inform clinical decisions and public health campaigns to improve the overall health of people in the UK.

Duties and responsibilities

  • You will plan and lead the development and implementation of novel mathematics methods in healthcare and medical research;
  • You will develop, apply and provide custom analyses for a wide variety of patient data;
  • You will investigate a broad range of data driven approaches in medical and healthcare research including machine learning, data assimilation and computational physiology;
  • You will independently plan and carry out research in accordance with the project aims;
  • You will be engaged in cutting edge applied data science research;
  • You will take initiatives in the planning and leading of independent research;
  • You will direct the work of small research teams, supervising and taking responsibility for the research team;
  • You will publish research papers in peer-reviewed journals;
  • You will attend and present research at international conferences;
  • You will develop contacts and research collaborations within the College and the wider community;
  • You will supervise postdoctoral researchers, postgraduate students and undergraduate research projects;
  • You will lead in the design and delivery of DSI postgraduate education programmes;
  • You will be committed to personal development in order to succeed in career progression.

 Essential requirements

We are looking for a researcher who has: 

  • A very good academic track record including a first or upper second class degree and a PhD in computer science or a closely related discipline, or equivalent research, industrial or commercial experience;
  • A background in computational science, in particular optimisation, data analysis, machine learning and data assimilation techniques;
  • High level analytical skills, and the ability to ensure the validity and reliability of data;
  • Background in signal processing, in particular systems identification and filter theory;
  • Experience of implementation of data assimilation techniques within complex multi-physics unstructured adaptive mesh models, and in particular fluid dynamics;
  • Experience of modern programming in languages including Fortran, C++ and Python;
  • Experience working within substantial scientific computational projects and large multi-disciplinary environments;
  • Excellent oral and written communication skills;
  • Publications in high quality journals;
  • Presented work at significant conferences;
  • Strong leadership and management skills.

 Further Information

Documents
JD Research Fellow Data Analysis

How to apply:

For further details on this opportunity visit our website at the following link. https://www.imperial.ac.uk/jobs and search using vacancy reference number ENG00598.
In addition to completing the online application, candidates should attach:

•           A full CV, including publications, experience and achievements

•           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 require any further details on the role please contact: Emma Bowman, DSI Operations Manager: e.bowman@imperial.ac.uk.

For technical issues when applying online please email recruitment@imperial.ac.uk

 

Research Assistant (Software Developer)

Imperial College
Department of Computing, Data Science Institute
Research Assistant (Software Developer)
Fixed Term appointment for 12 months
Research Assistant salary: £33,380 to £35,061 per annum
Closing date: 05 January 2019

Job Summary

We have an exciting opportunity for a Research Assistant (Software Developer) to work on OPen ALgorithms project (OPAL), a joint initiative between the Computational Privacy Group (https://cpg.doc.ic.ac.uk) at Imperial College’s Data Science Institute (https://www.imperial.ac.uk/data-science) and the MIT Media Lab (http://media.mit.edu).

This is a one year position in the first instance, but there may be subsequent PhD opportunities.

The Computational Privacy Group is a research group at Imperial College London studying the privacy risks arising from large scale behavioral datasets. We develop attack models and design solutions to collect and use data safely.

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: https://www.opalproject.org/a-closer-look .

The project is developed alongside a set of partners with Imperial College leading the technical development of the open-source platform and research on privacy-preserving mechanisms. The platform is installed by our telecommunication partners in Senegal and Colombia allowing data from more than 8 million people to be analyzed 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.). Ultimately, we hope the platform would become the gold standard for researchers, national and international agencies worldwide.

Duties and Responsibilities

• Planning and carrying out research in accordance with the assigned projects and objectives of the CPG and the OPAL platform.
• Collaborating with team members and core support teams to develop and provide software to meet the needs of the projects.
• Writing clean, well-structured, documented code following good software engineering practices.
• Re-using and developing code libraries to promote the long-term sustainability of the developed software platform.
• Provide training and support to technical and non-technical end-users in the use of software incl. in-country training (Senegal, Colombia, etc.).
• Contributing to the dissemination of work within the group and also externally at national and international conferences by presentation, publication and demonstration.

Essential Requirements

• To be appointed at Research Assistant level you will need a master’s degree (or equivalent) in computer science, software engineering, information science, applied math or a related subject.
• Excellent software engineering skills, teamwork and experience with distributed data processing infrastructure.
• Background in computer science with strong proficiency in Python and Node.js (Javascript ES6-7). Experience with HPC or modern data processing frameworks for big data (e.g. Hadoop, Spark) is a plus.
• An interest for privacy-preserving technologies is essential.
• Experience with Node.JS, RESTful APIs, distributed computing (Spark for example), operating-system-level virtualization (Docker or other container technologies) and location data.
• An interest for the use of big data in developing countries is a plus.

Further information

For queries regarding the application process contact Fay Miller at: f.miller@imperial.ac.uk
Job Description (Software Developer)

How to apply:

Our preferred method of application is online via: www.imperial.ac.uk/jobs and search for ENG00576
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.