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<td>[DMANET] Postdoctoral position – New deep learning
approaches for neural stochastic differential equations</td>
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<th valign="BASELINE" nowrap="nowrap" align="RIGHT">Date: </th>
<td>Mon, 06 Mar 2023 16:11:40 +0100</td>
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<th valign="BASELINE" nowrap="nowrap" align="RIGHT">From: </th>
<td>Roberto Santana Hermida <a class="moz-txt-link-rfc2396E" href="mailto:roberto.santana@ehu.eus"><roberto.santana@ehu.eus></a></td>
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<td><a class="moz-txt-link-abbreviated" href="mailto:dmanet@zpr.uni-koeln.de">dmanet@zpr.uni-koeln.de</a></td>
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<br>
<br>
Hi all,<br>
<br>
We are offering a 2-year machine learning postdoc position,
full-time temporary employment, in the University of the Basque
Country, in San Sebastian, Spain.<br>
<br>
Topic: New deep learning approaches for neural stochastic
differential equations<br>
Deadline: March 31st<br>
Expected start date: June 30th, 2023.<br>
Job Ad:
<a class="moz-txt-link-freetext" href="http://www.sc.ehu.es/ccwbayes/members/rsantana/calls/Call_IKUR_NDE_FInal.pdf">http://www.sc.ehu.es/ccwbayes/members/rsantana/calls/Call_IKUR_NDE_FInal.pdf</a>><br>
Description:<br>
<br>
This project is led in collaboration between researchers of the
Intelligent Systems Group (ISG) of the University of the Basque
Country (UPV/EHU) in San Sebastian, Spain and the Graduate Program
in Computational Sciences of the State University of Rio de
Janeiro, Brazil. We are looking for a motivated and experienced
scientist to fill a two-year POST-DOCTORAL position in the scope
of the IKUR project: "New deep learning approaches for neural
stochastic differential equations". The location for the position
is San Sebastian, Spain.<br>
<br>
The project involves the conception of methods for efficient
simulation of systems of differential equations based on deep
learning models. To perform the analysis and interpretation of the
simulations from a physical point of view. To design and implement
neural network architectures that could help in the study and
prediction of phase transitions in physical systems driven by
stochastic differential equations.<br>
<br>
<br>
Required Education and Skills:<br>
<br>
PhD in Physics, Mathematics, Computer Science or related areas.
Experience in the field of differential equations, statistical
physics, or probability and stochastic processes. Familiarity with
concepts from machine learning, particularly deep learning and
neural networks.<br>
Advanced programming skills in scientific computing.<br>
<br>
Responsibilities:<br>
The main task of the job is devoted to the development of methods
and algorithms in machine learning applied to statistical physics
problems, phase transition analysis and general solutions of
differential equations.<br>
<br>
Application:<br>
<br>
Applicants should submit their Curriculum Vitae (CV), a motivation
letter and arrange for two letters of reference to be sent on
their behalf to Dr. Zochil González and Dr. Roberto Santana.<br>
All files required for the application should be sent in PDF
format to the following email addresses:
<a class="moz-txt-link-abbreviated" href="mailto:processo.seletivo.ccomp@ime.uerj.br">processo.seletivo.ccomp@ime.uerj.br</a>, <a class="moz-txt-link-abbreviated" href="mailto:roberto.santana@ehu.eus">roberto.santana@ehu.eus</a>, with
the subject line “Application – IKUR Postdoctoral Fellowship”. The
signed letters of reference must be sent by each referee in PDF
form to the same email address; please ask him/her to include the
text “Name of the candidate – Letter of Reference” in the subject
line of the e-mail.<br>
<br>
<br>
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