Insight extraction and visualisation
KTP Associate position (deadline 24 March 2018)

The University of Essex in partnership with Signal Media Ltd offers an exciting opportunity to a graduate 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. This post is fixed-term for 18 months and is based at the Signal Media offices in central London, however there may be potential to continue in employment with the company partner following the completion of the Knowledge Transfer Partnership (KTP).

We are looking for someone who can understand clients challenges, propose methods to solve problems, experiment with different alternatives to address it and implement a solution that could be deployed in production. 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 a degree combining data science, NLP, and/or Human Computer Interaction, with familiarity of NLP, ML, and data visualisation tools.

Good news is rare these days, and every glittering ounce of it should be cherished and hoarded and worshipped and fondled like a priceless diamond.

- Hunter S. Thompson

Postdoctoral Research Assistant in Linguistics and Machine Learning (deadline 30 June 2018)

Applications are invited from outstanding computational linguists / NLP researchers combining an excellent background in theoretical linguistics (in particular semantics) with demonstrated exciting research skills in the use of machine learning methods for NLP/CL , for a three-year Postdoctoral Research Assistant position in DALI, a project funded by the European Research Council (ERC) on using games-with-a-purpose to collect very large datasets to support research in the linguistics and interpretation of anaphoric expression/coreference.

The main responsibility of the post will be analyzing the data about anaphora and anaphoric ambiguity already collected using the Phrase Detectives game (over 4.5 million judgments) and those that will be collected through a range of games under development, identifying the main sources of disagreement among our players, and use the insights thus obtained to push forward our understanding of the linguistics of anaphora and the state of the art in computational modelling of anaphora resolution. The chosen candidate will also be expected to provide input in the development of new games so as to improve the quality of the data collected. He/she will lead and co-author a range of outputs of the project; and contribute to the dissemination of research findings to a range of stakeholders and audiences.

The successful candidate will hold a PhD with a focus on computational linguistics / NLP, theoretical linguistics, or machine learning for NLP. A strong background in theoretical linguistics in general and semantics in particular, ideally with a focus on anaphora, is essential. Demonstrable skills in using computational and machine learning methods to analyse large amounts of linguistic data and developing computational models of semantic/discourse interpretation (ideally, anaphora resolution or coreference), also essential.

The successful candidate will join a team based in the Cognitive Science Research Group at Queen Mary University of London ( but also including collaborators from the Games and AI research group at QMUL and from the Language and Computation Group at the University of Essex.

This is a full time post for 3 years or until 31 Aug 2021 (whichever is the shorter) starting 1 September 2018 or as soon as feasible after this date. The starting salary will be £36,677 -£43,152 per annum inclusive of London allowance. Benefits include 30 days annual leave, defined benefit pension scheme and interest-free season ticket loan.

It is one world. And it's in our care. For the first time in the history of humanity, for the first time in 500 million years, one species has the future in the palm of its hands.

- Sir David Attenborough

Rapid 3D Reconstruction of Coral Ecosystems from Multi-Camera Imagery
PhD scholarship

The Schools of Computer Science and Electronic Engineering and Biological Sciences at the University of Essex are pleased to announce an exciting PhD studentship.

By using camera systems taking images from multiple angles, compelling 3D models of coral reef structures can be built using a photogrammetry technique called "structure from motion". An alternative is a technique known as "visual SLAM", which runs in real time. By adopting elements of both techniques, this studentship will develop a hybrid approach to support marine surveying, in particular for threatened coral reefs. For example, by producing 3D models of reefs, biodiversity can be monitored in ways that are currently not possible using manual measurements taken in-situ by divers.

The successful applicant will be supervised by Dr Jon Chamberlain and Dr Adrian Clark (in CSEE), with regular input from Prof David Smith and Dr Philippe Laissue (in SBS) and will be part of a growing inter-disciplinary group focusing on state-of-the-art computer applications in marine sciences.

The studentship will start in October 2018 and will receive a scholarship for three years (subject to satisfactory progression). The scholarship includes a fee waiver equal to the Home/EU fee of £4,120 (international students will need to pay the balance of their fees) and a stipend equivalent to the Research Councils UK National Minimum Doctoral Stipend (£14,553 in 2017-18).

The successful candidate would be expected to speak fluent English and meet our English Language requirements, if applicable, and will have a good honours BSc or BEng degree (1st, 2:1, or equivalent) in computer science, electronic engineering, mathematics, biological sciences or related subject.

An MSc with Merit or Distinction is desirable (but not essential for students with a first class degree). Strong analytical and mathematical skills are required, as well as good programming skills. Knowledge of photogrammetry, computer vision techniques and/or marine ecology are desirable but not essential.