34.2326, Support: English; Computational Linguistics, Text/Corpus Linguistics: PhD, University of Hamburg

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LINGUIST List: Vol-34-2326. Fri Jul 28 2023. ISSN: 1069 - 4875.

Subject: 34.2326, Support: English; Computational Linguistics, Text/Corpus Linguistics: PhD, University of Hamburg

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Date: 26-Jul-2023
From: Robert Fuchs [robert.fuchs at uni-hamburg.de]
Subject: English; Computational Linguistics, Text/Corpus Linguistics: PhD, University of Hamburg


Institution/Organization: University of Hamburg

Level: MA/Msc

Duties: Research Project Work

Specialty Areas: Computational Linguistics; Text/Corpus Linguistics
Required Language(s): English (eng)

Description:

The Department of English at the University of Hamburg is seeking a
Research Associate to join a team of researchers working on an
interdisciplinary project, funded through the Cross-Disciplinary Labs
initiative, titled "Predicting COVID-19 Vaccination Uptake from Public
Discourse: A Machine Learning Approach". In this project, we will
explore the relationship between public discourse and COVID-19
vaccination uptake and how to use real world data from Germany and
England to track public opinion on COVID-19 vaccination, with the
ultimate aim of identifying strategies to increase the uptake of
COVID-19 vaccinations. The analysis will apply big data and machine
learning techniques to Twitter data and will link these to information
on local vaccination rates. From a policy perspective, the output of
this project will inform public health responses in real time in
future pandemics. At the heart of the project is an interdisciplinary
approach, combining health economics and linguistics with new methods
from data science.

The successful candidate will work under the supervision of Professor
Robert Fuchs (English Linguistics) and will join a vibrant working
group focused on research in the fields of data-intensive discourse
analysis, varieties of English and Learner Corpus Research (see
https://sites.google.com/view/rflinguistics/home). We offer flexible
working arrangements, a supportive research environment and the
opportunity for professional growth through skills development in
cutting edge research methods in linguistics and data science.

Specific duties of the Research Associate include the collection and
analysis of Twitter data, the preparation and co-authorship of
research publications and conference presentations, participation in
international conferences as well as contributing to the strengthening
of data science at the University of Hamburg through the
Cross-Disciplinary Labs network. The position does not involve any
teaching duties. The Research Associate is also encouraged to work
towards a PhD, the topic of which should be broadly aligned with the
Principal Investigator’s research interests, and may be, but does not
need to be, connected to the project.

Applicants need to be in possession of a Master’s degree (or
equivalent) by the starting date of the position.

Applications should include a cover letter explaining the candidate’s
qualifications and interest in the position, a CV, copies of
Bachelor’s and Master’s degree certificates (where applicable), a
representative piece of writing (e.g. MA thesis, term paper)
demonstrating the candidate’s skills in academic writing, data
analysis and/or English linguistics , as well as a PhD proposal
(optional, no more than five pages).

Requirements:
 - A university degree in a relevant field
 - Excellent proficiency in English
 - Excellent skills in academic writing
 - Experience with the statistical analysis of linguistic data (esp.
with R and/or Python), the analysis of metaphorical language, corpus
linguistics and/or discourse analysis are of advantage

Send us your complete application documents (cover letter, curriculum
vitae, copies of degree certificate[s], a representative piece of
writing [e.g. MA thesis, term paper] demonstrating the candidate’s
skills in academic writing, data analysis and/or English linguistics ,
as well as a PhD proposal [optional, no more than five pages] and if
necessary ID attesting to your disability or proof of equivalent
status) via the online application form only.

Interviews are scheduled to take place remotely in the week of 21
August to 25 August 2023.

If you experience technical problems, send an email to
bewerbungen at uni-hamburg.de.

Application Deadline: 20-Aug-2023

Web Address for Applications: https://www.uni-hamburg.de/stellenangebo
te/ausschreibung.html?jobID=7d287efa7d4dcf1393308e9a7b5319f6ab63ed05

Contact Information:
Prof. Robert Fuchs
robert.fuchs at uni-hamburg.de



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