Research Associate (English linguistics) for the project “Predicting
COVID-19 Vaccination Uptake from Public Discourse”
https://www.uni-hamburg.de/stellenangebote/ausschreibung.html?jobID=7d287efa7d4dcf1393308e9a7b5319f6ab63ed05
Start date 01.10.2023
Application deadline 20.08.2023
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
--
Prof. Dr. Robert Fuchs (JP) | Department of English Language and
Literature/Institut für Anglistik und Amerikanistik | University of
Hamburg | Überseering 35, 22297 Hamburg, Germany | Room 07076 |
https://uni-hamburg.academia.edu/RobertFuchs |
https://sites.google.com/view/rflinguistics/
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