Research Assistant/Associate Visualisation

Imperial College London - Data Science Institute

Fixed Term appointment for 1 year in the first instance each to start as soon as possible

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

The Data Science Institute (DSI), headed by Professor Yike Guo, is seeking an exceptional and creative researcher to design and develop data visualisations for a unique new facility, the Data Observatory.

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

The post holder will collaborate closely with researchers from across the College to undertake a series of short visualisation projects to demonstrate through (ideally, large-scale) visualisation the impact of the world-class research undertaken at Imperial College. This will involve working across disciplines with many partners to develop challenging custom distributed visualisations in an iterative and agile way.

You will be expected to design, develop, and implement effective, dynamic, interactive visual analytics applications for large-scale data of different origin. Review creative concept work for technical feasibility and contribute to architecture and technology discussions within the development team. Ensure all projects are delievered to the highest possible standards of quality in all aspects including, but not limited to code, documentation, configuration management and other software engineering best practices as applicable. The successful candidate will contribute to the dissemination of work within the group and also externally at national and international conferences.

Applicants require the following:

  • Substantial experience in data analysis projects and visualisations, including commonly used languages (such as R and Python), and tools (Tableau, Spotfire, PowerBI).
  • Experience with web technologies, including backend (Java, C#, Javascript) and specially frontend (HTML,CSS, Javascript).
  • A strong understanding of distributed software applications, including scalability, performance, and reliability aspects with a strong background in design patterns and OOD.
  • Experience of data mining and machine learning

To apply for a Research Assistant level post you must have a good first degree or Masters (or equivalent) in a related area. For a Research Associate level post 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 relevant field.

A proven research record with publications in the relevant areas is also required.  You must have excellent verbal and written communication skills.

*Candidates who have not yet been officially awarded their PhD will be appointed as a Research Assistant within the salary range £32,380 to £34,040 per annum.

How to apply:

Via our website at https://www.imperial.ac.uk/jobs and search using vacancy reference number ENG00167.  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

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.

Share this job
     
  Share by Email   Print this job   More sharing options
We value your feedback on the quality of our adverts. If you have a comment to make about the overall quality of this advert, or its categorisation then please send us your feedback
Advert information

Type / Role:

Location(s):

London