The University invites applications for the Research Associate in Text Mining, which is tenable initially for 12 months starting as soon as possible. The post is part of the Discovering Safety Programme funded by Lloyds Register Foundation in collaboration with the Health and Safety Executive. The purpose of this project is to use a combination of text mining and machine learning methods for retrieving and organising textual information pertinent to incident and inspection reports for search and risk classification.
1. To develop a search system based on clustering methods.
2. To contribute to development of entity linking for the application.
3. To develop a classification system for risk assessment.
You should have a PhD or equivalent in Computer Science with emphasis in Text Mining and Machine Learning in particular clustering and classification. Experience in named-entity recognition, entity linking and terminology extraction will be desirable. Appropriate security clearance may be required for the successful applicant.
The School is committed to promoting equality and diversity, including the Athena SWAN charter for promoting women’s careers in STEMM subjects (science, technology, engineering, mathematics and medicine) in higher education. The School holds a Bronze Award for their commitment to the representation of women in the workplace and we particularly welcome applications from women for this post. Appointment will always be made on merit. For further information, please visit: http://www.manchester.ac.uk/connect/jobs/equality-diversity/awards/athena-swan/
Please note that we are unable to respond to enquiries, accept CVs or applications from Recruitment Agencies
Enquiries about vacancy shortlisting and interviews:
Name: Sophia Ananiadou
Tel: 0161 275 4499
Tel: 0161 850 2004
This vacancy will close for applications at midnight on the closing date