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<p>Dear friends and colleagues,<br>
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<p> Here is an opening for a research fellow position in Pisa,
concerned with mixed-integer non-linear programming (MINLP)
problems. <br>
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<p><b>To apply</b>, follow the instructions at this link:<br>
<br>
<a class="moz-txt-link-freetext"
href="https://www.unipi.it/ateneo/bandi/assegni/2019/inf/07112019/index.htm">https://www.unipi.it/ateneo/bandi/assegni/2019/inf/07112019/index.htm</a><br>
<br>
<b>Deadline</b>: 7 November 2019, 13:00 (Rome, Italy time)<br>
<br>
<i>About the research:</i><br>
<br>
We are looking for an enthusiastic research fellow to join
us, studying mathematical optimization problems that combine
both discrete and (continuous) nonlinear elements.<br>
It is well-known that the algorithmic approaches for
Mixed-Integer Linear Programming (MILP) and Non-Linear
(continuous) Programming (NLP) taken alone<br>
are not sufficient to tackle this class of problems. Indeed,
the underlying mathematical structure combines
non-convexities of the discrete elements with nonlinear
functions.<br>
This is very significant from a practical point of view, in
that it allows to more accurately model the complex
structures that are required by real applications, ranging
from energy, telecommunication to transportation and
logistics, fostering an interplay between industry and
academia.<br>
Currently, there are several theoretical, algorithmic and
computational challenges in MINLP, that have now clearly
caught the attention of all major optimization societies.<br>
<br>
The position is funded for 2 years.</p>
Please circulate to potentially interested people.</div>
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<p>Many thanks,<br>
<br>
Laura.<br>
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<font size="-1">---<br>
Laura Galli<br>
Senior Assistant Professor of Optimisation<br>
Department of Computer Science<br>
University of Pisa<br>
Largo B. Pontecorvo, 3<br>
56127, Pisa<br>
T: +39 (0)50 2212715</font> </div>
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