29.412, Support: Text/Corpus Linguistics: PhD, University of Essex

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LINGUIST List: Vol-29-412. Wed Jan 24 2018. ISSN: 1069 - 4875.

Subject: 29.412, Support: Text/Corpus Linguistics: PhD, University of Essex

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Date: Wed, 24 Jan 2018 15:08:56
From: Aline Villavicencio [alinev at gmail.com]
Subject: Text/Corpus Linguistics: PhD, University of Essex, UK

 Institution/Organization: University of Essex 
Department: SCEE 

Level: PhD 

Duties: Research,Project Work
 
Specialty Areas: Text/Corpus Linguistics 
 

Description:

PhD Studentship: What do you mean? Automatic identification of language
barriers for effective communication with government organisations
University of Essex - Computer Science and Electronic Engineering
Qualification type: PhD
Location: Colchester
Funding for: UK Students, EU Students
Funding amount: £14,553
Hours: Full Time
Placed on: 23rd January 2018
Closes: 23rd February 2018
Reference: CSEE/APR18/06
https://www.essex.ac.uk/-/media/documents/departments/csee/studentships/langua
ge-barriers-studentship.pdf

Background:

The School of Computer Science and Electronic Engineering at the University of
Essex is pleased to announce a PhD studentship available in “What do you mean?
Automatic identification of language barriers for effective communication with
government organisations”.

This studentship will start from 23 April 2018 and once awarded, you'll
receive the scholarship for three years of your PhD (subject to satisfactory
progression). 

The studentship includes:
- A fee waiver equal to the Home/EU fee (for 2017/18, £4,120). International
students will need to pay the balance of their fees.
- A stipend equivalent to the Research Councils UK National Minimum Doctoral
Stipend (£14,553 in 2017-18)

The goal of this project is to use data science and natural language
processing to investigate techniques for building language profiles of
specific groups of speakers. Clustering methods will be employed to define
target clusters of speakers on the basis of information about their age,
socio-economic context, and education, and based on their language profiles
methods for automatic readability assessment will determine whether
information from a given document is optimally written for targeting that
group. This will enable the use of information customisable to the language
abilities of different groups of speakers, and can be used to increase
accessibility to digital content.

The successful applicant will be supervised by: Dr Aline Villavicencio, Dr
Renato Amorim and Prof Slava Mikhaylov.

Additional questions and queries about the studentship to be addressed to: Dr
Aline Villavicencio avill at essex.ac.uk , Dr Renato Amorim r.amorim at essex.ac.uk
and Prof Slava Mikhaylov s.mikhaylov at essex.ac.uk.

Entry requirements and application procedures:

At a minimum, the successful applicant will have a good honours BSc degree
(1st class or high 2:1, or equivalent) in computer science or related
subjects. 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 natural
language processing and machine learning are desirable but not essential.

Applications should be submitted electronically by 23 February 2018. See
https://www1.essex.ac.uk/pgapply/enter.aspx for details, including uploading
all supporting documents required. Also include on your PG Admissions
application form that you wish to apply for this scholarship, quoting Ref
CSEE/APR18/06.

You are also required to submit a separate application form, which can be
accessed here
https://www.essex.ac.uk/-/media/documents/departments/csee/studentships/csee-s
tudentship-application-form.docx and submit separately to:
csee-schooloffice at essex.ac.uk by the deadline of Friday 23 February 2018,
quoting Ref CSEE/APR18/06.

Applicants will be informed of the outcome of their application for their PHD
course and the scholarship award by the end of March 2018.
 

Application Deadline: 23-Feb-2018 

Mailing Address for Applications:
	Attn: Dr. Aline Villavicencio 
	University of Essex 
	Wivenhoe Park 
	Colchester CO4 3SQ 
	United Kingdom 
	
Web Address for Applications: https://www1.essex.ac.uk/pgapply/enter.aspx 

Contact Information: 
	Dr Renato Amorim 
	r.amorim at essex.ac.uk  


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