We are delighted to announce an exciting opportunity for new graduates to solve real-world problems in NLP and data visualisation working closely with academic and industrial experts in these fields.
ABOUT THE PROJECT:
Signal Media Ltd is in partnership with The University of Essex to develop insight extraction and visualisation techniques to convert a stream of unstructured textual documents, e.g. news articles, into easily digestible information and present it in novel ways.
ABOUT THE PERSON:
We are looking for someone who can understand client's challenges, propose methods to solve problems, experiment with alternatives and implement a solution that could be deployed in a production environment. Team work and learning are two of the pillars for this position and for this reason, we are looking for individuals who are open-minded, inquisitive and have the desire to learn new skills from everyone in the company.
The ideal candidate will have an undergraduate degree combining data science, NLP, and/or Human Computer Interaction, with familiarity of NLP, ML, and data visualisation tools.
Signal has created a platform for analysing text and discovering market intelligence. Our large-scale text analytics system (currently processing more than 2 million documents a day in real-time) unlocks knowledge and insights from unstructured textual data using diverse text analytics and machine learning components. For instance, we apply de-duplication methods to group similar articles from different publications or entity disambiguation so that we can identify if, for example, a mention of "Iceland" refers to the retail company or the country. Our media monitoring product, built on top of our technology, is enabling organisations to solve real-time complex information challenges (e.g. "All the news related to IPOs of European technology companies").
ABOUT THE UNIVERSITY OF ESSEX:
The Human Language Technology research group in the School of Computer Science and Electronic Engineering and the interdisciplinary Language and Computation (LAC) group cover a large field of research interests ranging from theoretical to practical applications. We have a 40-year tradition of research in natural language processing, and some of our current interests include information extraction, text summarisation, Arabic NLP, crowdsourcing, gamification, information retrieval and questions about how to deal with fake news and hate speech. We have strong links with industry partners and you can find out more about our first joint project with Signal Media here: https://www.gov.uk/government/case-studies/signal-media-start-up-transformed-by-university-collaboration
FOR MORE INFORMATION & TO APPLY:
(please note that Signal will top up the advertised salary with London allowance)