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<p>Dear colleagues and students,</p>
<p>At the Information Engineering and Computer Science department of
the University of Trento we are looking for enthusiastic PhD students
interested in solving realistic-size and practical planning,
scheduling and acting problems in the hot topics of Industry 5.0 and
Hospital of the Future.</p>
<p>Could you please forward the vacancy description below to anyone
that comes to mind? Or please let me know if you'd like to know a bit
more.</p>
<p>Thanks in advance,</p>
<p>Marco Roveri<br>
Email: <a href="mailto:marco.roveri@unitn.it">marco.roveri@unitn.it</a></p>
<p>____________________________________________________________________</p>
<p>PhD positions in Computer Science
and Artificial Intelligence at the Department of Information Engineering and
Computer Science of University of Trento in challenging projects to develop new
algorithms for planning, scheduling and acting under uncertainty, and making
these operate in industrial (e.g. manufacturing, intra-logistics) and civil
(e.g. hospital, pharmaceutical) relevant environments.</p>
<p>Are you interested in developing
new algorithms, extending state-of-the-art AI techniques, and prepared to
take-on real-life problems involving advanced automation and robotic
applications collaborating with humans?</p>
<p>Join us in a team that considers
the operational planning, scheduling and actuation (motion planning) of
advanced robotic platforms (AGV, UAV, ...) to orchestrate their operations in
collaborating with human to achieve complex business relevant objectives like
e.g. reduce time-span, optimize resource consumption, quickly adapt to
contingencies (e.g. product and/or platform faults, changes in objectives,
changes in human operations). As the capabilities (e.g. dexterity) of robotic
agents grows and their adoption in solving complex tasks collaborating with
humans increases together with an increase in the complexity of the objectives,
the problems of finding feasible plans to orchestrate the different agents, and
of dynamically adapt and react to run-time contingencies to fulfill the high
level objectives are becoming more and more difficult.</p>
<p>The main tasks for the PhD student are to work on algorithms and
artificial intelligence techniques from the fields of constraint
programming, mathematical optimization, path planning, evolutionary
algorithms and/or reinforcement learning i) to solve such planning,
scheduling, actuation (motion planning) and reactive adaptation
problems; ii) to deepen our understanding of these techniques; iii)
and to show how they can be successfully combined to solve problems of
industrial and civil relevance. Moreover, the PhD student will be
allowed to experiment the developed techniques and algorithms in
realistic-size facilities (e.g. Robotic Labs at the University, and
industrial facilities joint with the University of Trento) equipped
with state-of-the-art robotic and automation platforms.</p>
<p>The call is now open
(<a href=3D"https://iecs.unitn.it/education/admission/call-for-application">https://iecs.unitn.it/education/admission/call-for-application</a>).
Interested candidates shall contact Prof. Marco
Roveri <a href="mailto:marco.roveri@unitn.it">marco.roveri@unitn.it</a>
to ask for additional information and to arrange for a preliminary
interview.</p>
<p><b><u>The Department of
Information Engineering and Computer Science at University of Trento</u></b></p>
<p>The Department of Information Engineering and Computer Science -
DISI
(<a href="https://www.disi.unitn.it">https://www.disi.unitn.it</a>)
primarily covers the topics of information technology and engineering
and ranked first among computer science departments in Italy and 78th
worldwide according to the latest U.S. News Best Global Universities
ranking.</p>
<p>The University of Trento is one of the best universities in Italy,
and the region of Trentino Alto Adige is a top location in Europe in
terms of quality of life and efficiency of services.</p>
<p><b><u>Requirements</u></b></p>
<ul>
<li>Applications for the PhD Program in Information and Communication
Technology are accepted from applicants who hold:</li>
<li>an Italian @quot;Laurea@quot; instituted in conformity with Italian
Ministerial Decree 270/2004, or</li>
<li> a university degree of the previous regulations (Italian
"Laurea" or "Diploma di Laurea"), or</li>
<li>an equivalent degree obtained abroad (Master's degree) and
recognized as equivalent to the Italian " Laurea magistrale"
by the Admissions Committee for the sole purposes of admission to the
Doctoral programme, also within the framework of mobility and
cooperation inter-university agreements.</li>
</ul>
<p>Applications are also accepted from students who expect to complete
their degree before the starting of the PhD grant (see the complete
list of requirements
<a href="https://iecs.unitn.it/education/admission/call-for-application">https://iecs.unitn.it/education/admission/call-for-application</a>).</p>
<p><b><u>Application</u></b></p>
<p>The application must be completed and submitted by August 31, 2021
at 04:00 PM.00 CEST, solely by the online system:</p>
<p>
<ul>
<li> <a
href="https://iecs.unitn.it/education/admission/call-for-application">https://iecs.unitn.it/education/admission/call-for-application</a></li>
<li><b>Deadline August 31, 2021 04.00 PM CEST</b></li>
</ul>
</p>
<p>Read carefully the announcement, the requirements and to include
all the required documents. An application without the required
information will be discarded without evaluation.</p>
<p><b><u>Scholarship</u></b></p>
<p>The PhD position will be covered by scholarships. Currently the
annual gross amount of the doctoral scholarship is approximately
Euro 16.290,00. The scholarship net amount may change, depending on the
country of residence and on country-specific taxation agreements.</p>
<p>Students who have been awarded a PhD scholarship are entitled to
get a 50% increase of their scholarship when staying abroad for
reasons related to their doctoral research and studies.</p>
<p>Each student is provided with a budget which can be used for
educational and research purposes.</p>
<p>First year students have the
priority for getting accommodation at student residences.</p>
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