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Research Fellow in Natural Language Processing
Manchester Institute of Biotechnology (MIB)

Job reference: SAE-016263

Location: Manchester Institute of Biotechnology (MIB)

Closing date (DD/MM/YYYY): 15/02/2021

Salary: £41,526 to £45,361 per annum according to relevant experience

Employment type: Fixed Term

Faculty/Organisation: Science and Engineering

School/ Directorate: Computer Science

Hours per week: Full time

Contract Duration: Fixed term from as soon as possible for 36 Months

The University of Manchester invites applications for a postdoctoral Research Fellow in Natural Language Processing, available from as soon as possible for 36 months.  The Fellow will work in the H2020 EPHOR (, part of the European Human Exposome Network ( You will develop new algorithms for information extraction, using (semi)-supervised and unsupervised techniques, transfer learning, distant supervision, applied in the area of exposome for a healthy working life. Based at the University of Manchester, Department of Computer Science, you will join a consortium of 19 partners in 12 countries and the research environment of the National Centre for Text Mining. You will be part of an exceptional consortium of exposure, health and data scientists and technology partners with the aim to advance occupational health science in a unique way to reduce the burden of disease.

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. All appointments will be made on merit. For further information, please visit:

Blended working arrangements may be considered    

Please note that we are unable to respond to enquiries, accept CVs or applications from Recruitment Agencies.

Enquiries about the vacancy, shortlisting and interviews:

Name: Professor Sophia Ananiadou


General enquiries:


Technical support:

This vacancy will close for applications at midnight on the closing date.

Please see the link below for the Further Particulars document which contains the person specification criteria.


The closing date for this job has now passed.