LINGUIST List 32.29

Mon Jan 04 2021

Jobs: Computational Linguistics: Full Professor, University of Edinburgh

Editor for this issue: Becca Morris <beccalinguistlist.org>



Date: 30-Dec-2020
From: Frank Keller <kellerinf.ed.ac.uk>
Subject: Computational Linguistics: Full Professor, University of Edinburgh, UK
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University or Organization: University of Edinburgh
Department: School of Informatics
Job Location: Edinburgh, United Kingdom
Web Address: https://www.ed.ac.uk/informatics/
Job Title: Chair in Natural Language Processing

Job Rank: Full Professor

Specialty Areas: Computational Linguistics


Description:

Chair in Natural Language Processing, University of Edinburgh

Grade: within the Professorial scale
School of Informatics, College of Science and Engineering
Full time (35 hours per week), Open-ended

Applications are invited from world-leading researchers for the Chair in Natural Language Processing in the School of Informatics at the University of Edinburgh. This is a full-time open-ended appointment at the rank of professor.

Natural Language processing is a highly interdisciplinary field of research, encompassing methods and insights from Computer Science, AI, Linguistics, Psychology and Cognitive Science. It covers a wide range of linguistic phenomena and applications, including, among others: speech processing, syntactic and semantic parsing, text-to-text and concept-to-text generation, dialogue systems, human robot interaction, and multimodal processing of language and vision and embodied conversation.

The School of Informatics is seeking to extend its teaching and research in natural language processing. Candidates with an interest in machine translation and/or multimodal NLP (e.g., language and vision) are particularly encouraged to apply, but applicants in all areas of NLP will be considered.

The School of Informatics is one of the top places in the world for research in natural language processing, and benefits from strong links to the School of Philosophy, Psychology and Language Sciences (PPLS), the School of Social and Political Science (SSPS), and the Institute for Design Informatics, which bridges the School of Informatics and Edinburgh College of Art. The School of Informatics and PPLS run Edinburgh’s UKRI Centre for Doctoral Training (CDT) in NLP. This post has been created to reinforce Edinburgh's strength in NLP and to foster inter-disciplinary research, knowledge exchange and teaching.

We are now seeking a world-leading researcher who will take a leadership role in both research and teaching NLP at Edinburgh. The successful candidate will have a vision for how to develop NLP both as a field and within the Edinburgh ecosystem. As well as providing research leadership in and beyond the School of Informatics, the Chair will contribute to postgraduate teaching, undergraduate courses, curriculum development and the supervision of PhD students, in particular taking a leading role in the UKRI CDT in NLP.

Your skills and attributes for success:
- PhD qualification.
- Experience as an established and internationally leading academic in an area related to natural language processing.
- A demonstrable sustained track record of attracting substantial research funding as a leading independent researcher.
- A strong track record of first author and collaborative publications in high quality journals and international conferences, demonstrating a world-leading research reputation and profile.
- Strong research skills and deep knowledge in specialist area; broad knowledge of the natural language processing research landscape.

All applications must contain the following supporting documents:
- Teaching statement
- Research statement
- Full CV (resume) and publication list

To apply, please see the application link provided below.

Please note that references will be sought for all shortlisted candidates. Please indicate on your application form if you are happy for your referees to be contacted.

Application Deadline: 26-Jan-2021

Web Address for Applications: https://elxw.fa.em3.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1001/job/310
Contact Information:
Prof Alex Lascarides
Email: alexinf.ed.ac.uk


Page Updated: 04-Jan-2021