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
Julia Ive , funded via CSC (see here)

– Understanding word embeddings via their algebraic-topological
structures: Dr. Haim Dubossarsky
, funded via CSC
(see here)

– Prompt-based learning for adaptive context-dependent NLP: Prof.
Matthew Purver , funded via CSC
(see here)

– Evaluating and Learning with Disagreements: Prof. Massimo Poesio
, funded via CSC (see here)

– Next-generation NLP methods for meaning change: Dr. Haim Dubossarsky
, funded via
QMUL’s Principal’s fund (see here)

– Meaning coordination in dialogue: Prof. Matthew Purver
, funded via EPSRC (see here)



Queen Mary University of London


details on the topics and funding conditions are available from this


Educational level:

Master Degree

How to apply:

Please mention NLP People as a source when applying


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About Queen Mary University of London

Queen Mary University of London is an educational institution offering under graduate, graduate, post graduate and research studies.