A number of funded PhD studentships in NLP/computational linguistics are
available in the Computational Linguistics Lab in the School of Electronic
Engineering and Computer Science at Queen Mary University of London, UK,
for September 2023 entry.
Studentships are available on a range of specified topics with particular
supervisors. Funding conditions, length of studentship and eligibility vary
with topic – please see the links in the list below for details.
– Unsupervised text anonymisation using pre-trained language models: Dr
– Understanding word embeddings via their algebraic-topological
structures: Dr. Haim Dubossarsky
– Prompt-based learning for adaptive context-dependent NLP: Prof.
– Evaluating and Learning with Disagreements: Prof. Massimo Poesio
– Next-generation NLP methods for meaning change: Dr. Haim Dubossarsky
QMUL’s Principal’s fund (see here)
– Meaning coordination in dialogue: Prof. Matthew Purver
Queen Mary University of London
details on the topics and funding conditions are available from this
How to apply:
Please mention NLP People as a source when applying
About Queen Mary University of London
Queen Mary University of London is an educational institution offering under graduate, graduate, post graduate and research studies.