Overview

I am looking for brilliant candidates who hold (or about to hold) MSc in Computer Science with a strong NLP research background for two, fully funded, PhD studentships at Queen Mary University of London (QMUL), School of Electronic Engineering and Computer Science.

Next generation methods for meaning change

The PhD student will develop new tools and models for detecting, understanding and predicting meaning change across languages. This student will be part of the Change is Key! international research program, and will be co-supervised by Prof Maria Liakata. To learn more about the project please visit here (under the section: Next generation NLP methods for meaning change).

Eligibility: This fully funded 3-year Principal’s studentship (tuition fees + monthly stipend) is open for UK home students only. For further details on the application process and eligibility criteria please read this.

Understanding neural representations via their algebraic-topological structures.

The PhD student will work in an interdisciplinary environment and at the forefront of NLP research and will develop new methods to better understand and describe how neural Language Models work. The student will be co-supervised by Dr Omer Bobrowski. To learn more about the project please visit here (under the section: Understanding neural representations via their algebraic-topological structures).

Company:

QMUL

Qualifications:

This fully funded 4-year studentship (tuition fees + monthly stipend) is part of the collaboration scheme between QMUL and the China Scholarship Council (CSC), and is therefore open for Chinese students only. Additional information about the scheme’s requirements (English Language test (IELTS) from the last 2 years among other things) is found here.

Educational level:

Master Degree

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