Postdoctoral position in Natural Language Processing and Text Mining

NLP PEOPLE; Manchester; On-site; GBP 30,000 - 45,000; Full time

Job summary

The University of Manchester invites applications for a postdoctoral position at the National Centre for Text Mining. Joining a leading research team, the successful candidate will research advanced methods in Natural Language Processing and Text Mining, contributing to significant biomedical text mining initiatives.

Qualifications

• Strong background in Natural Language Processing.
• Experience in developing algorithms for text mining.
• Strong publications in top conferences (ACL, EMNLP, Coling).

Responsibilities

• Conduct research in extracting facts/events from literature.
• Work on DARPA-funded project related to Big Cancer Mechanism.
• Develop and adapt algorithms and software for text mining.

Skills

Natural Language Processing

Text Mining

Java

Weakly Supervised Methods

Information Extraction

Education

Ph.D.

Tools

UIMA

RDF/SPARQL

Job description

Applications are invited for one postdoctoral position in Natural Language Processing and Text Mining at the National Centre for Text Mining (NaCTeM), School of Computer Science, University of Manchester to work with Prof. Sophia Ananiadou.

The candidate will be joining a team working on a DARPA-funded project concerned with the Big Cancer Mechanism initiative. The objectives of the post are to conduct research into extracting facts/events from the scientific literature and clinical case reports using adaptive text mining, semantic parsing and co-reference.

The National Centre for Text Mining (http://www.nactem.ac.uk/) has been a leading centre for biomedical text mining since 2005, with areas of expertise in information extraction, terminology management, text classification, text mining infrastructures and semantic search systems. The Centre is located in the Manchester Institute of Biotechnology (http://www.mib.ac.uk/) and its staff belong to the 4th ranked Computer Science school in the UK (REF2014) which has been further assessed as having the “best environment in the UK for computer science and
informatics research”.

Further particulars:
https://www.jobs.manchester.ac.uk/displayjob.aspx?jobid=9668

Company:

University of Manchester, Computer Science

Qualifications:

Candidates are expected to have a very strong background in Natural Language Processing, in particular using weakly supervised methods, excellent knowledge in developing and adapting algorithms and software
for text mining systems. A strong track record of high-quality papers in conferences such as ACL, EMNLP, Coling, etc., is highly desirable. Strong Java skills, knowledge of UIMA and RDF/SPARQL are essential.

Educational level:

Ph. D.

Tagged as: Academia, Classification, Information Extraction, NLP, Parsing, Ph. D., United Kingdom