Postdoctoral research positions in NLP, dialogue modelling & social data science
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Ravi Shekhar
Jan 6, 2022, 12:29:23 PM1/6/22
to MLNews
Applications are invited
for two Postdoctoral Research Assistant positions
at the School of Electronic Engineering and Computer Science at Queen Mary
University of London (QMUL).
https://www.qmul.ac.uk/jobs/vacancies/items/6568.html
The positions are associated with the following projects:
EPSRC-SoDeStream analyses decision-making processes, focusing on 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. Data
includes emails, meeting recordings/minutes.
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.
About You
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.
Research Environment
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.
Benefits
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.t...@qmul.ac.uk), Prof. Matthew Purver (m.pu...@qmul.ac.uk), Dr.
Ignacio Castro (i.ca...@qmul.ac.uk) or Prof. Pat Healey (
p.he...@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:
https://www.qmul.ac.uk/jobs/vacancies/items/6568.html
at the School of Electronic Engineering and Computer Science at Queen Mary
University of London (QMUL).
https://www.qmul.ac.uk/jobs/vacancies/items/6568.html
The positions are associated with the following projects:
EPSRC-SoDeStream analyses decision-making processes, focusing on 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. Data
includes emails, meeting recordings/minutes.
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.
About You
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.
Research Environment
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.
Benefits
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.t...@qmul.ac.uk), Prof. Matthew Purver (m.pu...@qmul.ac.uk), Dr.
Ignacio Castro (i.ca...@qmul.ac.uk) or Prof. Pat Healey (
p.he...@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:
https://www.qmul.ac.uk/jobs/vacancies/items/6568.html
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