Job: Four (4) positions at the National Centre for Text Mining, School of Computer Science, University of Manchester

Sat Mar 8 09:47:18 UTC 2008

Date: lundi 3 mars 2008
From: "Sophia Ananiadou" <Sophia.Ananiadou at manchester.ac.uk>
Message-Id: <200803042327.02678.pz at limsi.fr>
X-url: http://www.mib.ac.uk
X-url: http://ondex.sourceforge.net/
X-url: http://www.manchester.ac.uk/aboutus/jobs/research/vacancy/index.htm?ref=132461
X-url: http://www.manchester.ac.uk/aboutus/jobs/managementandprofessionaljobs/vacancy/index.htm?ref=132593
X-url: http://www.manchester.ac.uk/aboutus/jobs/research/vacancy/index.htm?ref=132594
X-url: http://www.nibhi.org.uk/default.aspx
X-url: http://www.manchester.ac.uk/aboutus/jobs/research/vacancy/index.htm?ref=132596
X-url: http://personalpages.manchester.ac.uk/staff/sophia.ananiadou/

The National Centre for Text Mining offers 4 positions: 2 for text
mining engineers, 1 for a software engineer and 1 for a project
manager. The successful candidates will be part of the growing team of
text miners associated with both NaCTeM which is hosted by the School
of Computer Science and the Manchester Interdisciplinary
Biocentre(http://www.mib.ac.uk).

1) Senior Researcher in Bio-text Mining – ONDEX project

We are looking for one senior researcher in text mining to work for a
new BBSRC funded project at the National Centre for Text Mining
(www.nactem.ac.uk) in text mining for systems biology (ONDEX project
http://ondex.sourceforge.net/). 
The post is available immediately. The project ends in March 2011. 
The successful candidate will be appointed at a Research Fellow level
and will be part of the growing team of researchers associated with
both NaCTeM as well as with several systems biology centres in the UK.

Essential skills: a PhD and a good first degree in an area relevant to
text mining as well as excellent software engineering skills. The
ability to develop algorithms and software for NLP/TM systems and to
produce experiments for text mining applications using large data
sets.  Excellent knowledge of natural language processing/text mining
using machine learning techniques and in particular named entity
recognition, parsing, information extraction; excellent knowledge of
C, C++, Java, XML, Windows, Linux and Web Services. A strong
publication record is a must. Experience with biomedical text mining
is highly desirable.

Further details are available at:
http://www.manchester.ac.uk/aboutus/jobs/research/vacancy/index.htm?ref=132461 

Please quote reference: EPS/80023

2) Project Manager for the National Centre for Text Mining

The Project Manager will be responsible for the day-to-day
organisation, documentation, planning and technical supervision of the
activities of the National Centre for Text Mining as a whole. The post
is available from 1st May 2008 for a duration of three years. There
will also be additional duties of a similar nature relating to
research projects NaCTeM is involved in. Applicants for this role
should have:

1) A proven track record of expertise in production quality software
   project management, with experience of the full software
   development lifecycle.

2) A PhD in Computer Science or closely related discipline preferably
   with a specialization in text mining 

3) Experience of working in a text mining or closely related project.

4) In-depth knowledge of software project management best practice and
   the ability to implement it.

5) Previous experience of co-ordinating and organising text mining or
   closely related projects

Further details are available at:
http://www.manchester.ac.uk/aboutus/jobs/managementandprofessionaljobs/vacancy/index.htm?ref=132593 
Please quote reference: EPS/80094

3) Software engineer for the National Centre for Text Mining

Applications are invited for a Software Engineer post for a period of
three years. The post is available from 1st May 2008. The overall aim
of NaCTeM is to provide robust and scalable text mining services. The
candidate will support, maintain and upgrade the software
infrastructure of the Centre, will integrate software programs and
design and develop the Centre's user interfaces. 

Applicants should have an MSc and a good first degree (minimum 2:1) in
Computer Science; they should have excellent software engineering
skills and be able to develop algorithms and software for robust
applications; excellent knowledge in developing interfaces; excellent
knowledge of C, C++, Java, XML, PHD, Windows, databases, Linux and Web
Services.

Further particulars are available at:
http://www.manchester.ac.uk/aboutus/jobs/research/vacancy/index.htm?ref=132594  

Please quote reference:  EPS/80096

4)  Research Associate in Text Mining (clinical and medical applications) 

Applications are invited for a Research Associate in Text Mining for a
period of 36 months. The post is available from 1st May 2008. The
successful candidate will develop text mining tools and services for
clinical and medical applications. The candidate will liaise closely
with colleagues from the Northwest Institute for BioHealth Informatics
(NIBHI) http://www.nibhi.org.uk/default.aspx  

Applicants should have a PhD in Computer Science and they should also
hold a good first degree (minimum 2:1) or equivalent in an area
relevant to the job description; they should have excellent software
engineering skills and be able to develop algorithms and software for
NLP/TM systems. Excellent knowledge of C, C++, Java, XML, Windows,
Linux and Web Services are all essential. A good publication record
would be an advantage. Experience with clinical text mining is highly
desirable.

Further particulars are available at:
http://www.manchester.ac.uk/aboutus/jobs/research/vacancy/index.htm?ref=132596  

Please quote reference: EPS/80097

Closing date for all applications: 17 March 2008
Informal enquiries to Sophia.Ananiadou at manchester.ac.uk

=========================================================
Dr Sophia Ananiadou, Reader in Text Mining, School of Computer Science
Director, National Centre for Text Mining, www.nactem.ac.uk
Manchester Interdisciplinary Biocentre, www.mib.ac.uk,
University of Manchester
131 Princess Street, M7 1DN
http://personalpages.manchester.ac.uk/staff/sophia.ananiadou/ 
sophia.ananiadou at manchester.ac.uk 
tel: +44 161 306 3092

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