Research Supervisor Connect

Corpus-based discourse analysis

Summary

Monika Bednarek is Professor of Linguistics at the University of Sydney. Her research interests include topics in the areas of corpus linguistics, ecolinguistics, discourse analysis, sociolinguistics, pragmatics, media linguistics, and, more specifically, the linguistic expression of emotion and attitude. She is director of the Sydney Corpus Lab, which aims to promote corpus linguistics in Australia. You can find Monika on Academia.edu and she tweets @corpusling.

Supervisor

Professor Monika Bednarek.

Research location

Linguistics, School of Humanities (SOH)

Synopsis

Research interests

  • Corpus linguistics and discourse analysis, corpus-assisted discourse studies (CADS)
  • Language use in the media, media linguistics (news discourse, television series)
  • The expression of emotion/opinion through language (affect, appraisal, stance, evaluation)

Monika is interested in supervising postgraduate students with corpus linguistic projects that align with the above research interests. Please consult her publications to find out more.

Additional information

1. If you are interested in this research opportunity, you are encouraged to email the academic directly. To find the academic’s email address, follow the link provided to their profile page. Introduce yourself and provide some academic background. You may be asked for an academic transcript. Explain why you are interested in your area of research and, if appropriate, why you are interested in working with the recipient.

2. Write an initial research proposal. (Refer to How to write a research proposal for guidance.) In no more than 2000 words demonstrate how your research experience aligns with the supervisor’s and why you’re interested in this opportunity.

3. If you would like general advice in your subject area before submitting an application, contact an academic advisor listed here: https://www.sydney.edu.au/arts/study/postgraduate-research/postgraduate-research-contact.html

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Opportunity ID

The opportunity ID for this research opportunity is 3166