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<p><tt>The University of Granada, Spain, and more specifically its
Department of Computer Science and Artificial Intelligence
offers a Marie Skłodowska-Curie individual European fellowship
on the automation of systematic reviews using Artificial
Intelligence.<br>
<br>
Published biomedical research needs to be synthesised for health
practitioners. This currently takes too long to
contemporaneously enhance health care quality because the
methods of evidence synthesis that bring together published
studies to underpin guidance for practice have well recognised,
serious delays taking on average 5 staff members over 12 months
to complete a review. We postulate that artificial intelligence
(AI) can assist in evidence synthesis, improving the timeliness
of guidelines. The objective of this project is, using beyond
state-of-the-art AI methodology, develop an integrated system
using modern AI technologies to support the complete process of
systematic reviews. We will validate the performance the
AI-based system quantifying its accuracy, precision,
heterogeneity, bias and generalizability compared to a standard
meta-analysis. We wish to form an international consortium of
well-established researchers with individually distinctive track
records in computer science, systematic review, study quality
assessment, meta-analysis, evidence grading, public health,
cardiometabolic research, and various forms of evidence
synthesis including both randomized and real-world data. This
will allow the delivery of a much-needed, exciting, ground
breaking, high-quality and impactful project. Our output will
help accelerate the process of meta-analyses, evidence synthesis
and transfer of research into guidelines for improving the
quality of health care.<br>
<br>
So we are looking for an experienced researcher with a PhD in
Computer Science, with a strong background in Information
Retrieval, Machine Learning, Natural Language Processing and
Text Mining to be integrated in a friendly and strong research
group. She/he will collaborate with a multidisciplinary team in
order to automating several of the stages of systematic reviews,
where all these previously disciplines must be involved.<br>
</tt></p>
<p><tt>The candidate will work and live at the beautiful city of
Granada, at southern Spain.</tt></p>
<p><tt>Those interested candidates should send a letter of interest
and presentation (including the reasons why she/he would be
interested in this position, her/his possible contributions to
the research and skills) to Juan Manuel Fernández Luna (jmfluna
<at> decsai.ugr.es) in addition to her/him CV.</tt></p>
<p><tt>After a first selection from all the CVs, the selected
candidate will work with the members of the research team to
elaborate a successful proposal.<br>
</tt></p>
<p><tt>More information about the fellowship is in the following
link:</tt><br>
<tt><tt><br>
<a class="moz-txt-link-freetext" href="https://euraxess.ec.europa.eu/jobs/hosting/msca-if-joint-application-university-granada-department-computer-science-and-2">https://euraxess.ec.europa.eu/jobs/hosting/msca-if-joint-application-university-granada-department-computer-science-and-2</a><br>
</tt></tt></p>
<p><tt>And about the call in this one:</tt></p>
<p><b style="font-weight: normal"><a
href="https://ec.europa.eu/research/mariecurieactions/actions/individual-fellowships_en"><span
style="color: rgb(17, 85, 204); font-family: Arial;
font-size: 12pt; font-weight: 400; text-decoration:
underline; text-decoration-skip-ink: none">https://ec.europa.eu/research/mariecurieactions/actions/individual-fellowships_en<br>
</span></a></b></p>
<br>
<tt><br>
</tt><tt>-----------</tt><tt><br>
</tt><tt>Juan M. Fernández Luna</tt><tt><br>
</tt><tt>Department of Computer Science and Artificial</tt><tt><br>
</tt><tt>University of Granada, Spain.</tt><tt><br>
</tt>
<p><br>
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