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<p class="MsoNormal"><font class="Apple-style-span" face="Calibri"
size="4"><span class="Apple-style-span" style="font-size: 15px;
">University of Manchester, School of Computer Science,
National Centre for Text Mining</span></font></p>
<div><span class="Apple-style-span" style="font-family: Calibri;
font-size: 15px; ">This three year studentship will be based at
the School of Computer Science, University of Manchester and is
part of a collaboration between the National Centre for Text
Mining (</span><span class="Apple-style-span"
style="font-family: Calibri; font-size: 15px; "><a
href="http://www.nactem.ac.uk/">www.nactem.ac.uk</a></span><span
class="Apple-style-span" style="font-family: Calibri; font-size:
15px; ">) and Lhasa ltd (</span><span class="Apple-style-span"
style="font-family: Calibri; font-size: 15px; "><a
href="https://www.lhasalimited.org/">https://www.lhasalimited.org/</a></span><span
class="Apple-style-span" style="font-family: Calibri; font-size:
15px; ">).</span><span class="Apple-style-span"
style="font-family: Calibri; font-size: 15px; "><span> </span></span><span
class="Apple-style-span" style="font-family: Calibri; font-size:
15px; ">Toxicity prediction is becoming increasingly important
in a variety of industrial and regulatory settings. Publicly
available toxicity data sources as well as structure-searchable
databases of toxicity data are important for the development of
toxicity prediction models.</span><span style="font-size: 11pt;
font-family: Calibri; "></span></div>
<p class="MsoNormal" style="font-family: Tahoma; font-size: medium;
"><span style="font-size: 11pt; font-family: Calibri; "></span><span
class="Apple-style-span" style="font-family: Calibri; font-size:
15px; ">The aim of this studentship is to carry out original
research into the development and adaptation of text mining
tools for analysing toxicity data, such as named entity
recognisers for small molecules, toxic agents, doses, species,
and relations reporting on types of toxicity and associations
between the above entities.<span> </span>The student will be
supervised by Prof. Sophia Ananiadou and will work in areas such
as domain adaptation, techniques for named entity recognition,
disambiguation, event extraction using machine learning
techniques and deep parsing.</span></p>
<p class="MsoNormal" style="font-family: Tahoma; font-size: medium;
"><b><span style="font-size: 11pt; font-family: Calibri; "></span></b><span
class="Apple-style-span" style="font-family: Calibri; font-size:
15px; ">The successful candidate will have a good honours degree
(ideally first class) in computer science, natural language
processing, or a related discipline. Excellent programming
skills (Java, C, C++), and experience in natural language
processing, parsing techniques, disambiguation are a must. <span> </span>Experience
in machine learning will be an advantage<b>.</b></span></p>
<div>
<p class="MsoNormal" style="font-family: Tahoma; font-size:
medium; "><span style="font-size: 11pt; font-family: Calibri; ">£13,570
maintenance per annum, up to £5,000 for conference-related
travel, plus tuition fee at UK/EU rate. Applications
restricted to UK/EU citizens.</span></p>
<p class="MsoNormal" style="font-family: Tahoma; font-size:
medium; "><span style="font-size: 11pt; font-family: Calibri; "></span><span
class="Apple-style-span" style="font-family: Calibri;
font-size: 15px; ">Start date for studentship:
September/October 2011<span class="Apple-style-span"
style="font-family: Tahoma; font-size: medium; "><b><span
style="font-size: 11pt; font-family: Calibri; "> </span></b></span></span></p>
</div>
<p class="MsoNormal"><font class="Apple-style-span" face="Calibri"
size="4"><span class="Apple-style-span" style="font-size: 15px;">To
apply, p</span></font><span style="font-size: 11pt;
font-family: Calibri; ">lease email <a
href="mailto:Sophia.Ananiadou@manchester.ac.uk">Sophia.Ananiadou@manchester.ac.uk</a> your
CV, listing any publications, together with 3 reference letters
and a research statement.</span></p>
<p class="MsoNormal"><span style="font-size: 11pt; font-family:
Calibri; ">Closing date for applications: 5th September 2011.</span></p>
<pre class="moz-signature" cols="72">--
Paul Thompson
Research Associate
School of Computer Science
National Centre for Text Mining
Manchester Interdisciplinary Biocentre
University of Manchester
131 Princess Street
Manchester
M1 7DN
UK
Tel: 0161 306 3091
<a class="moz-txt-link-freetext" href="http://personalpages.manchester.ac.uk/staff/Paul.Thompson/">http://personalpages.manchester.ac.uk/staff/Paul.Thompson/</a></pre>
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