Research Associate

Full-time: 35 hours per week

Fixed-term: expected contract length - 12 months

The School of Informatics, University of Edinburgh invites applications for a Research Associate position in natural language processing and machine learning. The research project is in  the area of  natural language generation and the application of tools (e.g., retrieval) and multi-agent frameworks to perform complex writing tasks like opinion summarization and book summary generation.

The Opportunity:

The postdoctoral researcher will be supervised by Mirella Lapata and funded by  UKRI (the UK Research and Innovation National funding agency) and will join the Edinburgh NLP group (edinburghnlp.inf.ed.ac.uk), one of the largest and most active NLP research groups in the world (see csrankings.org/#/index?nlp&world). There are many collaborative opportunities, both within the NLP group as well as across the School of Informatics (which includes faculty working on machine learning, computer vision, speech processing, and social computing).

This post is advertised as full-time, regular on-campus working.

The salary for this post is £40,247 - £47,874 per annum.

Your skills and attributes for success:

• Ph.D. degree (or about to obtain one).
• A strong background in AI, machine learning and/or natural language processing.
• Publications at top venues in NLP or/and ML.
• Strong programming skills.
• Experience with modern deep learning frameworks (e.g., PyTorch) and LLM-based  frameworks.
• Strong communication, presentation, and writing skills, and excellent command of English.

Application Information

Please ensure you include the following documents in your application:

• CV
• Cover letter

Contact details for enquiries: Mirella Lapata mlap@inf.ed.ac.uk

Feedback is only provided to interviewed candidates.

The University of Edinburgh is a charitable body, registered in Scotland, with registration number SC005336. Is e buidheann carthannais a th’ ann an Oilthigh Dhùn Èideann, clàraichte an Alba, àireamh clàraidh SC005336.

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