Lecturer in Computational Social Media Analysis and Natural Language Processing

Job description:

This is an outstanding opportunity for a Lecturer in Computational Social Media Analysis and Natural Language Processing (NLP) to join the School of Computer Science at the University of Sheffield. The post is supported by a PhD studentship (paying UK student fees and stipend for 3.5 years) and a generous startup package for equipment and travel. 

You will work within our internationally leading NLP Research Group. Established in 1993, the group is one of the largest and most successful language processing groups in the UK. It currently comprises 13 academics, with research interests that span foundation models, computational social science including social media and disinformation analysis, machine learning for NLP,  machine translation, language resources and architectures for NLP, dialogue systems, information retrieval, and text summarisation inter alia. 

There is also the opportunity to work with The Centre for Machine Intelligence (CMI), which  is a strategic initiative supported by a £3.64m investment, dedicated to the transformation and acceleration of research, innovation, and teaching on and with AI, and collaboration with the Insigneo Institute and the Healthy Lifespan Institute. 

You should hold a PhD in computational social science, NLP, machine learning or a related area with a track record of undertaking high quality research, with the ability to generate income. This will include securing research funding, publishing in high impact journals and conferences, supervision of research students and research project management.

We build teams of people from different heritages and lifestyles from across the world, whose talent and contributions complement each other to greatest effect. We believe diversity in all its forms delivers greater impact through research, teaching and student experience. 

To find out what makes the University of Sheffield a remarkable place to work, watch this short film: www.youtube.com/watch?v=7LblLk18zmo, and follow @sheffielduni and @UniOfSheffJobs on Twitter for more information.

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