Research Fellow in Natural Language Processing and Text Mining
Location : Oxford Road, Manchester
Closing Date : 03/01/2019
Salary : £40,792 - £50,132 per annum according to experience
Employment Type : Fixed Term
Faculty / Organisational Unit : Science & Engineering
Division : Computer Science - Machine Learning and Optimisation
Hours Per week : Full Time
Contract Duration : Starting Immediatey until 31 December 2023
The University invites applications for the above position to increase its capacity in Natural Language Processing and Text Mining, which is available immediately for an initial 5 year period leading to an open-ended academic position.
The Research Fellow will further strengthen the research profile of the text mining research group at the University of Manchester and the National Centre for Text Mining. We are looking for an outstanding candidate that has a vision for making a significant impact on natural language processing, text mining research and its applications. The Fellow will be part of the Discovering Safety Programme project funded by Lloyds Register Foundation in collaboration with the Health and Safety Executive. This post is one of the key first posts to be appointed in the Thomas Ashton Institute for Risk and Regulatory Research.
You will join the vibrant research environment of the Text Mining research group at the School of Computer Science and will be a member of the National Centre for Text Mining which is developing cross cutting and innovative approaches for text mining applications using NLP and machine learning.
As a member of the Thomas Ashton Institute, the Fellow will join, and help establish, a multidisciplinary centre of excellence and expertise, which offers an exciting opportunity for ground breaking and excellent research to inform both government regulatory regimes and industry practice.
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/athen...
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 306 3092
Tel: 0161 275 4499
Tel: 0161 850 2004
This vacancy will close for applications at midnight on the closing date