[Posgrados-invop] Fwd: MARIE S. CURIE PhD positions at University of Deusto (Bilbao, Spain) in Artificial Intelligence

Hector Cancela cancela at fing.edu.uy
Wed Feb 3 14:11:25 -03 2021




-------- Mensaje reenviado --------
Asunto: 	MARIE S. CURIE PhD positions at University of Deusto (Bilbao, 
Spain) in Artificial Intelligence
Fecha: 	Wed, 3 Feb 2021 18:08:26 +0100
De: 	Antonio D. Masegosa <admase at DECSAI.UGR.ES>
Responder-a:: 	Antonio D. Masegosa <admase at DECSAI.UGR.ES>
A: 	MODERN-HEURISTICS at JISCMAIL.AC.UK



** Apologies for cross-posting **
** Please forward to anybody who might be interested. **

The Deusto Institute of Technology (DeustoTech) 
(https://deustotech.deusto.es/) 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 
(https://bit.ly/3r8ZcK0). 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: 
http://shorturl.at/mLPZ9

* THE DEADLINE FOR APPLICATIONS IS FEBRUARY 24, 2021 *

*PROJECT BACKGROUND*

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.

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.).

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:

Antonio D. Masegosa, Ikerbasque Research Associate, University of 
Deusto, Spain (http://paginaspersonales.deusto.es/ad.masegosa/)
Andres R. Masegosa, University of Almeria, Spain 
(https://andresmasegosa.github.io/)

* WE OFFER *

- 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.
- 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€).

- A research stay of at least three months at a leading international 
institution.
- Excellent working conditions.
- Exposure to both academia and the industry in an environment with 
multiple H2020 on-going projects.
- Possibility to publish at top journal and conferences in the area of 
machine learning, evolutionary computing and transport systems.
- High quality of life in one of the most livable cities 
(https://bit.ly/2MhsfN1) and regions (https://bit.ly/39CQFt6).

*REQUIREMENTS*

- An official Master’s degree in Computer Science, or related field.
- An excellent academic record (grades of B or higher).
- Advanced command of English (minimum Cambridge C1 or equivalent).
- 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.
- 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.

For more details about requirements please visit http://shorturl.at/mLPZ9

* CANDIDATE PROFILE *

- Background in computer science, computer engineering, applied 
mathematics or related fields.
- Good programming skills and experience in some of the next programming 
languages is also desirable: Python, Keras, PyTorch, TensorFlow, R, etc.
- Experience in the application and development of metaheuristics, 
machine learning, deep learning or probabilistic graphical models will 
be especially welcome.
- Experience in the fields of intelligent transportation systems, travel 
behaviour analysis or transport planning will be also welcome.
- Fluency in English, both spoke and written, is expected, along with 
good communication and presentation skills.
- Innovative and proactive attitude, and be a good team player.


*PROCEDURE AND DEADLINE FOR APPLICATIONS*

This call of the University of Deusto is framed in the context of the 
6i-DIRS project (for more details:https://bit.ly/3r8ZcK0). The selection 
of candidates will be done in two stages:

- First stage

     The applicants should forward their CV and two references to 
Antonio D. Masegosa (ad.masegosa at deusto.es) and Andrés R. Masegosa 
(andresma at ual.es).

     THE DEADLINE FOR FIRST STAGE APPLICATIONS IS *FEBRUARY 24th, 2020*.

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.

- Second stage

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:http://shorturl.at/mLPZ9).

These candidates will be supported by Antonio D. Masegosa and Andres R. 
Masegosa
in the preparation of all the materials required by the 6i-DIRS call, 
especially in the preparation of the research project and motivation letter.

     THE DEADLINE FOR SECOND STAGE APPLICATIONS IS *MARCH 5th, 2021*.

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