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Fully-funded PhD Studentship: Professional in the loop explainable open-set misinformation classification

Project description:

This project will develop an open-set misinformation classification model, which addresses several challenges in misinformation. The proposed model will be designed under an open-set (i.e. infinite number of misinformation categories) assumption, which provides robust category classification performance with continuously evolving misinformation categories. The model will also provide new category detection functionality with prediction explanation to help fact-checkers and relevant professionals discover shifts in misinformation topics. The project will also investigate few-shot learning approaches to allow fast model adaptation in response to misinformation category evolution.

You will carry out research on the latest advances in computational methods for analysing online misinformation, and more specifically, investigate multilingual deep learning methods. Within the studentship, there is expectation to disseminate via national and international conferences and journals.

In this studentship, you will work in the well-connected, world-leading Natural Language Processing (NLP) research group at the University of Sheffield, which has a reputation for internationally leading research and is one of the largest such groups in Europe.

Entry Requirements:

A very good undergraduate degree (at least a UK 2:1 honours degree, or its international equivalent) or an MEng/MSc (or equivalent, or near completion) with first-class honours or distinction in Computer Science, or a closely related area. If English is not your first language, you must have an IELTS score of 6.5 overall, with no less than 6.0 in each component.

How to Apply:

To apply for a PhD studentship, applications must be made directly to the University of Sheffield using the Postgraduate Online Application Form. Make sure you name Dr Xingyi Song as your proposed supervisor.


The form has comprehensive instructions for you to follow, and pop-up help is available.

Your research proposal should:

Closing date:

Successful applicants will be expected to start in October 2022. Please submit your application ASAP, latest by 10th May 2022 for Home Students and 10th April 2022 for International Students.

Funding Information

The EPSRC DTP grant will pay UKRI tuition fees and stipend (currently £15,609 for 2021/22) for 3.5 years and an RTSG of £4,500 (across the award).

For any general queries, please contact Dr Xingyi Song, e-mail: x.song@sheffield.ac.uk