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Research Associate in Machine Learning for Natural Language Processing (NLP)
  • Python
  • Machine Learning
  • Excel
  • Modeling
  • NLP
  • Deep Learning
  • Keras
  • PyTorch
University of Sheffield
Sheffield
117 days ago

(NLP)

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

Summary:

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

deep learning.

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.

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