---------- Postdoctoral researcher in Machine Learning applied to Natural Language Processing EPSRC Project: Modeling Idiomaticity in Human and Artificial Language Processing (MIA) Duration: Fixed-term with an end date of 30 November 2023. Full-time, although part-time would be considered (working commitment and pattern to be agreed) Application Deadline: October 08,2022 Application link: https://www.jobs.ac.uk/job/CTD489/research-associate-in-machine-learning-for... https://www.jobs.ac.uk/job/CTD489/research-associate-in-machine-learning-for-natural-language-processing-nlp The University of Sheffield (UK)
The University of Sheffield invites applications for a postdoctoral researcher in Machine Learning applied to Natural Language Processing position, which is part of the EPSRC project on MIA: Modeling Idiomaticity in Human and Artificial Language Processing, a collaboration led by Prof. Aline Villavicencio, Dr. Carolina Scarton, and Prof. Anna Korhonen.
We are looking to make an appointment as soon as possible after the deadline. The initial appointment will be until November 2023. The position is remunerated according to Grade 7.3 pay scale:£35,333 per annum.
The responsibility of the postdoctoral researcher is to research 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. The researcher will also collaborate with the University of Cambridge (UK) and the Aix Marseille University (France), partners in this project.
Furthermore,
The ideal candidate will have: - A PhD in Machine Learning/Natural Language Processing or related field; - A strong publication record commensurate with career stage; - Expertise in machine learning (applied to NLP), with experience in the analysis and development of classical and deep learning models; - Experience in using libraries for NLP and deep learning, such as Tensorflow and Keras; - Experience in data annotation, data collection, and creating new benchmark datasets for evaluation; - A willingness to further improve methods skills and to transfer knowledge to doctoral researchers and student assistants.
Expertise in at least one of the following areas is advantageous but not required: - Track record in ML/NLP methods for developing word representation models; - Knowledge of machine translation models.
MIA project: MIA is part of the EPSRC call for Responsible NLP for Intelligent Interfaces. In MIA, we will develop idiomatically-aware word/phrase representation models with the ability to process idiomatic (non-literal) language, by incorporating clues that are linguistically-motivated and cognitively-inspired by human processing data. Equipping natural language processing (NLP) models with the ability to process idiomatic expressions is important for obtaining more accurate representations that can lead to gains in downstream tasks, such as machine translation (MT) and text simplification (TS). MIA targets a crucial limitation in standard NLP models, as idiomaticity is part of human communication, with potential benefits to applications that include natural language interfaces, like conversational agents, question answering and information retrieval systems.
Host institution: The project is hosted by the Department of Computer Science at the University of Sheffield, a leading international center for research in the UK. We are ranked in the top five for research excellence as part of the 2014 Research Excellence Framework, with 92% of our research outputs being world-leading or internationally-excellent. Our research environment is the best in the country (as measured by the 4* and 3* REF environment score).
The NLP and Speech and Hearing groups have over 60 academics, maintaining an active program of seminars, with exceptional facilities for research, and ample opportunities for collaboration. It is one of the largest and most successful NLP groups in Europe, with multiple worldwide collaborations. Sheffield is a vibrant city with a rich cultural life, with a large number of parks and the Peak District just nearby, perfect for outdoor activities and a high quality of life.
Applications must be submitted using the University of Sheffield system. More information can be found here: https://www.jobs.ac.uk/job/CTD489/research-associate-in-machine-learning-for... https://www.jobs.ac.uk/job/CTD489/research-associate-in-machine-learning-for-natural-language-processing-nlp
The University of Sheffield is an equal opportunity employer. Applicants from underrepresented minorities are highly encouraged to apply. Remote working arrangements will be discussed upon request. The Department of Computer Science holds a Silver Athena SWAN award, in recognition of our commitment to equality and diversity.
Application Deadline: October 08, 2022
For informal enquiries about this job and the recruiting department, contact: Professor Aline Villavicencio on <>a.villavicencio@sheffield.ac.uk mailto:a.villavicencio@sheffield.ac.uk.
For administration queries and details on the application process, contact the lead recruiter: Renata Goddard on <>com-researchrecruitment@sheffield.ac.uk mailto:com-researchrecruitment@sheffield.ac.uk.
For all online application system queries and support, visit: www.sheffield.ac.uk/jobs/applying http://www.sheffield.ac.uk/jobs/applying
---------------------------------------------------- Prof. Aline Villavicencio Chair in Natural Language Processing Department of Computer Science, University of Sheffield https://sites.google.com/view/alinev https://www.sheffield.ac.uk/dcs/people/academic/aline-villavicencio