Contract Type: Fixed-term for 36 months
Working Pattern: Full time
Faculty: Faculty of Engineering
Department: Department of Computer Science
Salary: Grade 7 £31,866 - £40,322 per annum with the potential to progress to
£44,045 per annum
Closing Date: 29th July 2020
We are seeking a Research Associate to work in Word Embedding Models, as part of the EPSRC project Modeling Idiomaticity
in Human and Artificial Language Processing (MIA), which is a collaboration between the University of Sheffield and University
of Cambridge (UK). MIA is part of the call for Responsible NLP for Intelligent Interfaces, and you will be expected to lead the
design and development of strategies for more transparent machine learning models to generate accurate cross-lingual
representations for idiomatic language, as well as to contribute to the design and development of resources and evaluation of
downstream tasks, like machine translation. For both lines of research, you will build on state-of-the-art approaches based on
This is an opportunity to work in a well-connected international team with world-leading reputations in the Natural Language
Processing (NLP) research group at the University of Sheffield. The NLP group is well known internationally for the excellence
of its research, and is one of the largest research groups in computational linguistics and text engineering in the UK.
This post offers excellent opportunities for publications, project visits and conference trips. You must have a PhD (or be
close to completion) or have equivalent work experience and a strong publication record. Solid knowledge of Machine
Learning models applied to Natural Language Processing and Deep Learning is required, as is excellent programming skills in
Python and deep learning frameworks (esp. Keras, TensorFlow or PyTorch). Previous experience developing Word
Embedding Models and/or Machine Translation is also desirable.
We’re one of the best not-for-profit organisations to work for in the UK. The University’s Total Reward Package includes a
competitive salary, a generous Pension Scheme and annual leave entitlement, as well as access to a range of learning and
development courses to support your personal and professional development.
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.