Research Associate position in Visual Data Science

We are seeking a Research Associate in Visual Data Science to conduct research in developing the foundations of how analysts can use natural language elements within exploratory visual data analysis processes through novel techniques where natural language and visualisation based interactions operate in harmony. We are looking for enthusiastic researchers who are keen to ask fundamental questions on how visual exploratory analysis processes operate.

The post is within the “NlViS: Natural Language Interaction for Visual Data Analysis” project ( funded by The Engineering and Physical Sciences Research Council (EPSRC) and led by giCentre at City, together with the technology company Redsift Inc. as an industrial project partner. The post is scheduled to start on September 2017, or as soon as possible thereafter, and is full-time for a period of 12 months. The starting salary is at the L6.34 salary scale -- £36,001 according to the City's current salary tables. Further details about the post are on this link.

The application deadline is 13 July 2017 (subject to final confirmation) with interviews shortly after this date. Feel free to express your interest and contact Cagatay Turkay ( for an informal chat about the post and the research environment in general. Further details of the post are on this page and formal application details and links to the official application system are on this link on City's recruitment pages.

Research Grant Success

Cagatay Turkay has been awarded a prestigious grant by The Engineering and Physical Sciences Research Council (EPSRC) under their First-Grant scheme. The funding is for the project titled “NlViS: Natural Language Interaction for Visual Data Analysis” that will commence September 2017 for a duration of 18 months until February 2019.

The project will investigate ways to advance exploratory data analysis methodologies through novel combinations of interactive visualisations and natural language understanding. The project will be asking fundamental questions on how analysts make inferences from visual representations to develop an in-depth understanding of how exploratory visual data analysis processes are executed. Further details of the project can be found on the project page.

Fully-funded PhD Studentship opportunity at giCentre

The School of Mathematics, Computer Science and Engineering is offering a limited number of fully-funded PhD studentships.

These provide an excellent opportunity to study for a PhD at the giCentre. We are currently looking for candidates who are interested in topics related to various areas in data visualisation. Have a look at our list of PhD topics or propose your own. If you are interested, please email us on, either indicating which proposal interests you or giving us your own specific ideas.

These studentships will be highly competitive, you'll need a good degree in a related area (computer science or other quantitative subject) and preferably to have already published some scientific work. Your application will benefit from early interaction with us, so please do get in touch with us soon, well before the studentship deadline of 19th May 2017.

These studentship give recipients a tax-free stipend per year (currently £16,000) for three years and will pay UK / EU tuition fees. Successful candidates will also be involved in teaching support. Full details are on the university website (scroll down to "School of Mathematics, Computer Science and Engineering").