Research Associate in Data Science Institute (DSI) Imperial College London, Department of Computing United Kingdom

Research Associate


Job summary


The Data Science Institute (DSI), headed by Professor Yike Guo, is seeking an exceptional data analyst/data engineer to join an enthusiastic team to develop body sensor systems. 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 postdoctoral...

 

Job listing information


Reference ENG00164


Date posted 15 January 2018


Closing date 18 February 2018


Key information about the role


Location
South Kensington Campus
(map)



Position type
Full time, fixed term


Salary
£36,800 plus benefits

Department Department of Computing

Category Researcher / Non Clinical Researcher

 

Job description

 

Job summary

 

The Data Science Institute (DSI), headed by Professor Yike Guo, is seeking an exceptional data analyst/data engineer to join an enthusiastic team to develop body sensor systems.  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 postdoctoral researcher will work on the EPSRC funded smart heart project to develop the medical images management and analysis platform for cardiology research

 

Duties and responsibilities

 

You will be expected to fully collaborate with team members and collaborating with partner biomedical research projects on data management and analysis; 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: exploit and contribute to the development of the MRI scanning data warehouse based on the XNAT platform; to Integrate XNAT system with tranSMART system to provide clinician a unified platform for clinical study; develop automatic pipeline for data migration and integration; and to develop an intuitive web based interface to ease clinical use who may have little IT background.

 

Essential requirements

 

To apply you must have a PhD (or equivalent) in biomedical engineering,computer science or electrical engineering, and significant software development experience with an emphasis on image data management and analysis.

 

You should have a track record of data management, medical imaging, biomedical signal processing, algorithms and system design.  You must also have experience  of clinical medical images  and cardiology.

 

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

 

Further information

 

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

 

About Imperial College London

 

Imperial College London is the UK’s only university focussed entirely on science, engineering, medicine and business and we are consistently rated in the top 10 universities in the world.

 

You will find our main London campus in South Kensington, with our hospital campuses located nearby in West and North London. We also have Silwood Park in Berkshire and state-of-the-art facilities in development at our major new campus in White City.

 

We work in a multidisciplinary and diverse community for education, research, translation and commercialisation, harnessing science and innovation to tackle the big global challenges our complex world faces.

 

It’s our mission to achieve enduring excellence in all that we do for the benefit of society – and we are looking for the most talented people to help us get there.

 

Additional information

 

Please note that job descriptions cannot be exhaustive and the post-holder may be required to undertake other duties, which are broadly in line with the above key responsibilities.

 

All Imperial employees are expected to follow the 7 principles of Imperial Expectations: 

  • Champion a positive approach to change and opportunity
  • Communicate regularly and effectively within, and across, teams
  • Consider the thoughts and expectations of others
  • Deliver positive outcomes
  • Encourage inclusive participation and eliminate discrimination
  • Develop and grow skills and expertise
  • Work in a planned and managed way 

 

In addition to the above, employees are required to observe and comply with all College policies and regulations.

 

Imperial College is committed to equality of opportunity, to eliminating discrimination and to creating an inclusive working environment. We are an Athena SWAN Silver award winner, a Stonewall Diversity Champion, a Disability Confident Employer and work in partnership with GIRES to promote respect for trans people.


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