<html><head><meta http-equiv="Content-Type" content="text/html; charset=utf-8"></head><body style="word-wrap: break-word; -webkit-nbsp-mode: space; line-break: after-white-space;" class="">One four-year PhD grant on AI & Process Mining is offered by the
faculty of Computer Science of the Free University of Bozen-Bolzano in
Italy jointly with the Process & Data Intelligence research unit at
Fondazione Bruno Kessler, Trento, Italy, where most of the research
activities will be conducted. The grant amounts to 68,000 € (i.e.,
17,000 euro per year, net after taxes); for research visits abroad the
grant can increase up to 50%. Substantial extra funding is available for
participation to international conferences, schools, workshops,
research visits. The language of the PhD programme is English. <br class=""><br class="">The deadline for applications will be on the 30th of June, 2021<br class=""><br class="">For more info, the call, and applications look at: <a href="http://www.unibz.it/en/faculties/computer-science/phd-computer-science" target="_blank" rel="nofollow" data-saferedirecturl="https://www.google.com/url?hl=en-GB&q=http://www.unibz.it/en/faculties/computer-science/phd-computer-science&source=gmail&ust=1622876286328000&usg=AFQjCNGmtSMB6-D2JHH7bDlPpatiLtMyrA" class="">www.unibz.it/en/faculties/computer-science/phd-computer-science</a><br class="">and in particular to the grants funded by external parties in the application documents. ((See also <a href="https://phd.fbk.eu/calls/" target="_blank" class="">https://phd.fbk.eu/calls/</a> for further details)<br class=""><br class="">Within
the AI & Process Mining field, the Process & Data Intelligence
research unit is looking for PhD students interested in exploring
synergies between AI techniques (both logic-based and machine learning
based) and a wide range of Process Mining tasks such as discovery,
compliance checking, verification, prediction and recommendation. We are
looking, in particular, for students interested in topics such as:<br class=""><br class="">- Machine Learning and Predictive methods applied to Predictive Process Monitoring<br class="">- Recommender Systems <br class="">- Knowledge Representation and Linear Time Temporal Logic <br class="">- Business process discovery and monitoring.<br class=""><br class="">Fondazione
Bruno Kessler and the Free University of Bozen-Bolzano are located 50
KM apart in one of the most fascinating European regions, the Dolomites.
<br class=""><br class="">Fondazione Bruno Kessler is an internationally well-known
research center, whose information technology department ranks first
among the Engineering and Information Science research centers in Italy.<br class=""><br class="">The Process & Data Intelligence research unit (<a href="http://pdi.fbk.eu" target="_blank" rel="nofollow" data-saferedirecturl="https://www.google.com/url?hl=en-GB&q=http://pdi.fbk.eu&source=gmail&ust=1622876286329000&usg=AFQjCNHkW52c7rOSGocmKBwxIZ9FwNFagw" class="">http://pdi.fbk.eu</a>)
is an internationally well known research group focused on the
interplay between formal (and especially logic-based) representations of
knowledge and data driven representations of knowledge, with particular
emphasis on Process-aware systems and semantic web based systems. The
PhD will be conducted under the joint supervision of Dr. Chiara Di
Francescomarino. and Dr. Chiara Ghidini. <br class=""><br class="">To get in contact with
the Process & Data Intelligence research unit and discuss about the
opportunities of this call contact Dr. Chiara Di Francescomarino at <a href="https://groups.google.com/" data-email-masked="" rel="nofollow" class="">dfmchiara@fbk.eu</a> or Dr. Chiara Ghidini at <a href="https://groups.google.com/" data-email-masked="" rel="nofollow" class="">ghidini@fbk.eu</a><br class=""><br class="">At
this time of global uncertainty, you may be wondering whether your
application to the PhD programme will be affected. The Free University
of Bozen-Bolzano is in constant contact with the competent authorities
to monitor the development of the COVID-19 emergency to provide the
adequate preventive actions for the university community. All interviews
for short-listed candidates will be held online. It is possible that by
November 2020, when the PhD programme starts, some restrictive measures
may be in place: the university will support new students to go through
the initial process as smoothly as possible. In any case, we are
committed to continue our research and supervision at the usual high
quality level.</body></html>
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