Research Assistant In Natural Language Processing

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

Please note that we are unable to respond to enquiries, accept CVs or applications from Recruitment Agencies.

Enquiries about the vacancy, shortlisting and interviews:

Name: Professor Sophia Ananiadou

Email: [email protected]

General enquiries:

Email: [email protected]

Technical support:

https://jobseekersupport.jobtrain.co.uk/support/home

This vacancy will close for applications at midnight on the closing date.

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