Research Assistant in Natural Language Processing - Manchester, United Kingdom - The University of Manchester

Tom O´Connor

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Tom O´Connor

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Description

We seek a research assistant to work on emotion detection, empathy and intentionality using Generative AI, Large Language Models at the intersection of Natural Language Processing and Computational Social Science.

You will work with members of the National Centre for Text Mining for a project funded by the National Institute of Advanced Industrial Science and Technology (AIST) Japan.


Overall Purpose of the Job


You should have major strengths in core natural language processing and deep learning, LLMs, to complement existing strong skills in emotion detection, information extraction, knowledge graph construction, unsupervised methods of learning, reinforcement learning, contrastive learning applied to downstream NLP tasks.


The project will investigate empathy and intentionality of large language models, developing evaluation metrics to measure bias, stereotyping, bullying in conversations.

Knowledge of multimodal LLMs will be useful.


As an equal opportunities employer we welcome applicants from all sections of the community regardless of age, sex, gender (or gender identity), ethnicity, disability, sexual orientation and transgender status.

All appointments are made on merit.

Our University is positive about flexible working - you can find out more here

Blended working arrangements may be considered


Enquiries about the vacancy, shortlisting and interviews:

Name:
Professor Sophia Ananiadou


General enquiries:


Technical support:

**Please see the link below for the Further Particulars document which contains the person specification criteria.

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