*The deadline for applications is 21st January 2022.*
The positions are associated with the following projects:
EPSRC-SoDeStream analyses decision-making processes in multi-party dialogue in email threads, meeting recordings and minutes. The focus is the Internet Engineering Task Force, a major organisation standardising Internet protocols by understanding its social network and communication, and automatically identifying social decision-making bottlenecks.
H2020-EMBEDDIA develops cross-lingual techniques to develop NLP tools in less-resourced languages and apply them to the news media industry; QMUL’s focus is on analysing/summarizing/moderating comments on news articles posted by readers, not only in English but other less-represented European languages such as Croatian and Estonian.
You should have a strong background in at least one of: Data Science, NLP, Computational Social Science, and/or ML. It is desirable to have experience in dialogue modelling and/or online text processing background, whereas a completed PhD is essential before starting.
About the School of EECS
As a multidisciplinary School, we are well known for our pioneering research and pride ourselves on our world-class projects. We are 11th in the UK for quality of computer science research (REF 2014) and 6th in the UK for quality of electronic engineering research (REF 2014).
About Queen Mary
At Queen Mary University of London, we believe that a diversity of ideas helps us achieve the previously unthinkable. We continue to embrace diversity of thought and opinion in everything we do, in the belief that when views collide, disciplines interact, and perspectives intersect, truly original thought takes form.
The researcher will work with Gareth Tyson, Matt Purver, Ignacio Castro and Pat Healey from the CogSci and Networks groups at Queen Mary University of London.
The Cognitive Science Research Group at QMUL (CogSci) is a leader in the areas of NLP, social data science and dialogue modelling. With 9 faculty members, 10 postdocs and 27 PhD students, Cogsci’s Computational Linguistics Lab (http://compling.eecs.qmul.ac.uk/) is one of the largest NLP labs in the UK.
The Networks Research Group at QMUL (http://networks.eecs.qmul.ac.uk/) consists of 17 faculty members, 4 postdocs and 22 PhD students and is a leader in research on internet measurement and social computing.
The wider context
London is a vibrant city and one of the most active centres of AI/NLP research in the world. It is the location of the Alan Turing Institute, of several Universities active in AI and NLP, and of numerous AI companies both large and small.
We offer competitive salaries, pension scheme, 30 days’ leave per annum, a season ticket loan scheme, staff networks and access to a comprehensive range of personal and professional development opportunities. In addition, we offer a range of work-life balance and family friendly, inclusive employment policies, flexible working arrangements, and campus facilities including an on-site nursery at the Mile End campus.
The posts are based at the Mile End Campus in London. They are full-time (35 hours per week), fixed term contracts for 12 months or until 30 June 2023, whichever is shorter. These contracts may be extended subject to further funding approval. The starting salary will be in the range of £34,733-£40,797 per annum (Grade 4), inclusive of London Allowance.
Queen Mary’s commitment to our diverse and inclusive community is embedded in our appointments processes. Reasonable adjustments will be made at each stage of the recruitment process for any candidate with a disability. We have policies to support our staff throughout their careers, including arrangements for those who wish to work flexibly or on a job share basis, and we provide support for those returning from long-term absence. We particularly welcome applications from under-represented (BAME) groups, and from women in all stages of life, including pregnancy and maternity leave.
Informal enquiries should be addressed to Dr. Gareth Tyson ( g.tyson at qmul.ac.uk), Prof. Matthew Purver (m.purver at qmul.ac.uk), Dr. Ignacio Castro (i.castro at qmul.ac.uk) or Prof. Pat Healey ( p.healey at qmul.ac.uk). Details about the School can be found at www.eecs.qmul.ac.uk.
For further details and the application pack see here:
-- Matthew Purver - http://www.eecs.qmul.ac.uk/~mpurver/
Computational Linguistics Lab - http://compling.eecs.qmul.ac.uk/ Cognitive Science Research Group - http://cogsci.eecs.qmul.ac.uk/
School of Electronic Engineering and Computer Science Queen Mary University of London, London E1 4NS, UK
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