The University of Manchester invites applications for a postdoctoral
Research Associate to undertake research in the area of text mining. The
post is available from the 1st February 2018 for six months. It aims at
conducting novel research on text mining-based social media analytics.
The post will be hosted at the School of Computer Science.

You will be joining the School of Computer Science of the University of
Manchester. You should have a PhD in Computer Science (or any relevant
field) with an emphasis on Natural Language Processing and in particular
Social Media Text Mining, knowledge of machine learning, excellent
programming skills and a proven track record of publications. Previous
experience of working in a multidisciplinary research team would be

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.


University of Manchester



Educational level:

Master Degree

How to apply:

Please mention NLP People as a source when applying


Tagged as: , , , , , ,

About The University of Manchester

Britain's largest single-site university with a proud history of achievement and an ambitious agenda for the future.

Research excellence - The University has an exceptional record of generating and sharing new ideas and the quality, breadth and volume of its research activity is unparalleled in the UK.

Our history - The University is built on the shoulders of academic giants and can lay claim to 25 Nobel Prize winners amongst its former staff and students.

President's mission - The President and Vice-Chancellor's mission is to make The University of Manchester one of the leading universities in the world by 2015.

A responsible university - We are committed to providing a dynamic working and learning environment, where every member of our community is valued for their contribution and individuality.