NaCTeM

Vacancy for Research Associate in Text Mining

2018-11-27

We invite applications for a 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.

Post Objectives:

  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.

Closing Date : 03/01/2019
Salary : £32,236 - £39,609 per annum according to experience
Hours Per week: Full Time
Contract Duration : 01 February 2019 until 31 January 2020

Further Details

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