28.3212, Jobs: English; Norwegian Bokmål; Welsh; Computational Linguistics; Historical Linguistics; Sociolinguistics; Syntax: Postdoctoral Research Assistant/Associate, University of Cambridge, UK

[The LINGUIST List]

LINGUIST List: Vol-28-3212. Thu Jul 27 2017. ISSN: 1069 - 4875.

Subject: 28.3212, Jobs:  English; Norwegian Bokmål; Welsh; Computational Linguistics; Historical Linguistics; Sociolinguistics; Syntax: Postdoctoral Research Assistant/Associate, University of Cambridge, UK

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Date: Thu, 27 Jul 2017 11:52:27
From: David Willis [dwew2 at cam.ac.uk]
Subject: English; Norwegian Bokmål; Welsh; Computational Linguistics; Historical Linguistics; Sociolinguistics; Syntax: Postdoctoral Research Assistant/Associate, University of Cambridge, UK

 
University or Organization: University of Cambridge 
Department: Theoretical and Applied Linguistics
Job Location: Cambridge, United Kingdom 
Web Address: http://www.mml.cam.ac.uk/dtal
Job Title: Research Assistant/Associate: Morphosyntactic innovation and social media
Job Rank: Post Doc

Specialty Areas: Computational Linguistics; Historical Linguistics; Sociolinguistics; Syntax; Social media

Required Language(s): English (eng)
                      Norwegian Bokmål (nob) 
                      Welsh (cym) 

Description:

A postdoctoral research associate position is available at the University of
Cambridge in conjunction with the ESRC-funded research project 'Investigating
the diffusion of morphosyntactic innovations using social media'.

The project aims to develop the use of social-media data (e.g. Twitter) for
the study of language variation and change, in particular the question of how
morphosyntactic innovations diffuse through geographic space. The successful
candidate will be responsible for creating corpora of social-media data in the
three languages of investigation (British English, Norwegian and Welsh) and
for developing theoretically informed and computationally sophisticated tools
to analyse patterns of variation found within the corpora in collaboration
with other team members. The ideal candidate will have a demonstrable
background in both computational linguistics and in historical linguistics or
language variation and change.

Candidates must have submitted their PhD in a Linguistics, Computer Science or
another relevant field by the time of appointment; if they have not yet been
awarded their PhD they will initially be appointed as a Research Assistant
(salary £25,298-£29,301), and be promoted to Research Associate (salary
£31,076-£38,183) on award of their PhD).

This position is 100% FTE with a fixed term of 36 months, starting 1 September
2017 or as soon as possible thereafter.

The successful candidate will be report to Dr David Willis in the Department
of Theoretical and Applied Linguistics.

Salary will normally rise annually by one point on the anniversary of
appointment.

The appointment is subject to satisfactory completion of a probationary period
of 6 months.

To apply online for this vacancy and to view further information about the
role, please visit the link below. This will take you to the role on the
University’s Job Opportunities pages. There you will need to click on the
'Apply online' button and register an account with the University's Web
Recruitment System (if you have not already) and log in before completing the
online application form.

In order for your application to be considered, please upload a covering
letter, a detailed curriculum vitae, a list of publications and one sample of
a recent publication. You must also provide the names and contact details of
two referees who are familiar with your work in the relevant field and whom we
can contact for a reference once the vacancy has closed.

The closing date is midnight (BST) on Sunday 13 August 2017.

Please quote reference GZ12741 on your application and in any correspondence
about this vacancy.

The University values diversity and is committed to equality of opportunity.

The University has a responsibility to ensure that all employees are eligible
to live and work in the UK.



Application Deadline: 13-Aug-2017 
	  
Web Address for Applications: http://www.jobs.cam.ac.uk/job/14345 
Contact Information:
	Dr David Willis 
	Email: dwew2 at cam.ac.uk 


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