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-------- Mensaje reenviado --------
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<th valign="BASELINE" nowrap="nowrap" align="RIGHT">Asunto:
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<td>MARIE S. CURIE PhD positions at University of Deusto
(Bilbao, Spain) in Artificial Intelligence</td>
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<th valign="BASELINE" nowrap="nowrap" align="RIGHT">Fecha: </th>
<td>Wed, 3 Feb 2021 18:08:26 +0100</td>
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<th valign="BASELINE" nowrap="nowrap" align="RIGHT">De: </th>
<td>Antonio D. Masegosa <a class="moz-txt-link-rfc2396E" href="mailto:admase@DECSAI.UGR.ES"><admase@DECSAI.UGR.ES></a></td>
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<th valign="BASELINE" nowrap="nowrap" align="RIGHT">Responder-a::
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<td>Antonio D. Masegosa <a class="moz-txt-link-rfc2396E" href="mailto:admase@DECSAI.UGR.ES"><admase@DECSAI.UGR.ES></a></td>
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<th valign="BASELINE" nowrap="nowrap" align="RIGHT">A: </th>
<td><a class="moz-txt-link-abbreviated" href="mailto:MODERN-HEURISTICS@JISCMAIL.AC.UK">MODERN-HEURISTICS@JISCMAIL.AC.UK</a></td>
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<br>
<br>
** Apologies for cross-posting **<br>
** Please forward to anybody who might be interested. **<br>
<br>
The Deusto Institute of Technology (DeustoTech)
(<a class="moz-txt-link-freetext" href="https://deustotech.deusto.es/">https://deustotech.deusto.es/</a>) from the University of Deusto
(Bilbao, Spain) is looking for a full-time PhD student. The
position is offered in the frame of the Horizon 2020 Marie
Sklodowska-Curie COFUND Programme (<a class="moz-txt-link-freetext" href="https://bit.ly/3r8ZcK0">https://bit.ly/3r8ZcK0</a>). The
grant will have a duration of 3 years under a regular employment
contract with full social security coverage. You can find more
information about the scholarship here: <a class="moz-txt-link-freetext" href="http://shorturl.at/mLPZ9">http://shorturl.at/mLPZ9</a><br>
<br>
* THE DEADLINE FOR APPLICATIONS IS FEBRUARY 24, 2021 *<br>
<br>
*PROJECT BACKGROUND*<br>
<br>
Transport is a fundamental sector for the European economy. At EU
level, it covers a fairly complex network that includes around 1.2
million private and public companies, employing around 10.5
million people. This is why it is a crucial sector of the EU
economy: in 2015, it accounted for about 9 % of total gross added
value, 9 % of total employment, and 17.2 % of total EU exports of
services were transport-related. However, transport also generates
negative social effects, such as accidents, greenhouse gas
emissions, air pollution, noise and environmental effects.
Overall, external costs due to transport have been estimated at
around 4% of GDP in 2011.<br>
<br>
Although transport at EU level presents important challenges to be
addressed, technological advances in areas such as Information and
Communication Technologies or energy storage are revolutionising
the transport and mobility of both people and goods and opening up
new areas of opportunity. Two of the main areas of opportunity are
the high availability of transport data nowadays and the
appearance of emerging mobility solutions (electric vehicles,
autonomous and connected vehicles, micro-mobility, etc.).<br>
<br>
This research aims at addressing the previous challenges mentioned
by developing novel Artificial Intelligence techniques that will
make it possible to exploit the areas of opportunity described
before. Within the wide range of Artificial Intelligence methods
that can be found today, in this project we will mainly focus on
Machine Learning methods and optimisation techniques based on
Metaheuristics. The researcher will be supervised by:<br>
<br>
Antonio D. Masegosa, Ikerbasque Research Associate, University of
Deusto, Spain (<a class="moz-txt-link-freetext" href="http://paginaspersonales.deusto.es/ad.masegosa/">http://paginaspersonales.deusto.es/ad.masegosa/</a>)<br>
Andres R. Masegosa, University of Almeria, Spain
(<a class="moz-txt-link-freetext" href="https://andresmasegosa.github.io/">https://andresmasegosa.github.io/</a>)<br>
<br>
* WE OFFER *<br>
<br>
- Three years of full-time contract for doing your PhD. The gross
annual salary (not including social security and before taxes)
will be approximately €32.508 per year.<br>
- Allowances for moving (up to €1500 per year), training costs
(3000€), research stays (1500€ + additional funds from the
research group (1500€-2500€ approx.)) and attendance to
international conference (1000€).<br>
<br>
- A research stay of at least three months at a leading
international institution.<br>
- Excellent working conditions.<br>
- Exposure to both academia and the industry in an environment
with multiple H2020 on-going projects.<br>
- Possibility to publish at top journal and conferences in the
area of machine learning, evolutionary computing and transport
systems.<br>
- High quality of life in one of the most livable cities
(<a class="moz-txt-link-freetext" href="https://bit.ly/2MhsfN1">https://bit.ly/2MhsfN1</a>) and regions (<a class="moz-txt-link-freetext" href="https://bit.ly/39CQFt6">https://bit.ly/39CQFt6</a>).<br>
<br>
*REQUIREMENTS*<br>
<br>
- An official Master’s degree in Computer Science, or related
field.<br>
- An excellent academic record (grades of B or higher).<br>
- Advanced command of English (minimum Cambridge C1 or
equivalent).<br>
- Research experience rule: applicants shall be in the first four
years (full‐time equivalent research experience) of their research
careers and not yet have been awarded a doctoral degree.<br>
- Mobility rule: At the time of the relevant deadline for
submission of proposals, researchers shall not have resided or
carried out their main activity (work, studies, etc.) in Spain for
more than 12 months in the 3 years immediately prior to the
reference date. Compulsory national service and/or short stays
such as holidays are not taken into account.<br>
<br>
For more details about requirements please visit
<a class="moz-txt-link-freetext" href="http://shorturl.at/mLPZ9">http://shorturl.at/mLPZ9</a><br>
<br>
* CANDIDATE PROFILE *<br>
<br>
- Background in computer science, computer engineering, applied
mathematics or related fields.<br>
- Good programming skills and experience in some of the next
programming languages is also desirable: Python, Keras, PyTorch,
TensorFlow, R, etc.<br>
- Experience in the application and development of metaheuristics,
machine learning, deep learning or probabilistic graphical models
will be especially welcome.<br>
- Experience in the fields of intelligent transportation systems,
travel behaviour analysis or transport planning will be also
welcome.<br>
- Fluency in English, both spoke and written, is expected, along
with good communication and presentation skills.<br>
- Innovative and proactive attitude, and be a good team player.<br>
<br>
<br>
*PROCEDURE AND DEADLINE FOR APPLICATIONS*<br>
<br>
This call of the University of Deusto is framed in the context of
the 6i-DIRS project (for more details:<a class="moz-txt-link-freetext" href="https://bit.ly/3r8ZcK0">https://bit.ly/3r8ZcK0</a>). The
selection of candidates will be done in two stages:<br>
<br>
- First stage<br>
<br>
The applicants should forward their CV and two references to
Antonio D. Masegosa (<a class="moz-txt-link-abbreviated" href="mailto:ad.masegosa@deusto.es">ad.masegosa@deusto.es</a>) and Andrés R. Masegosa
(<a class="moz-txt-link-abbreviated" href="mailto:andresma@ual.es">andresma@ual.es</a>).<br>
<br>
THE DEADLINE FOR FIRST STAGE APPLICATIONS IS *FEBRUARY 24th,
2020*.<br>
<br>
Applicants from the first stage will be evaluated as their
submissions are received and they will be contacted individually
as soon as possible and no later than February 26th, 2021. THE
SOONER YOU SUBMIT THE APPLICATION TO THE FIRST STAGE THE BETTER
because in case you are selected you will have more time to
prepare the application for the second stage.<br>
<br>
- Second stage<br>
<br>
The selected candidates will be invited to submit their
applications to the second stage, in which they should follow the
guidelines given by the 6i-DIRS call (see next
link:<a class="moz-txt-link-freetext" href="http://shorturl.at/mLPZ9">http://shorturl.at/mLPZ9</a>).<br>
<br>
These candidates will be supported by Antonio D. Masegosa and
Andres R. Masegosa<br>
in the preparation of all the materials required by the 6i-DIRS
call, especially in the preparation of the research project and
motivation letter.<br>
<br>
THE DEADLINE FOR SECOND STAGE APPLICATIONS IS *MARCH 5th,
2021*.<br>
<br>
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