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[Apologies for cross-posting]

*PHD STUDENTSHIPS IN DATA SCIENCE FOR INTELLIGENT TRANSPORTATION SYSTEMS 
AT THE DEUSTOTECH MOBILITY LAB*
========================================================================================================= 


** Deadline next Monday **


Deusto Institute of Technology (DeustoTech, 
http://www.deustotech.deusto.es), located in Bilbao, Basque Country 
(Spain), is a Research Institute belonging to the University of Deusto. 
DeustoTech invites applications for several grants hosted by DeustoTech 
Mobility Research Laboratory (http://mobility.deustotech.eu/). Number of 
vacancies: 2


*GRANT SUMMARY*

The grants will have duration of 12 months and may be renewed yearly, up 
to a maximum of 36 consecutive months.
The exact amounts awarded will be established in the pre-doctoral call 
published by the Basque Government for the corresponding year. In the 
2014/2015 academic year, the annual gross salary was 14,545.80€. The 
application is open to UE research applicants.

*DETAILS*

The PhD students will work on Data Science for Intelligent 
Transportation Systems. In particular, the candidate will be instructed 
in areas related with the management and integration of information 
coming from transport related sources (state of the road, vehicular 
communications,…) to generate estimations about the future state of the 
road, as well as to generate services that improves the vehicular flow.
Artificial intelligence, data mining and soft computing techniques will 
be the core of the processing of information in a Big Data environment, 
considering a multi-objective approach that manages both the quality and 
complexity of the models.

*REQUIREMENTS*

Candidates should have a first class or good 2.1 honours degree in 
Software Engineering or Computer Science. An appropriate degree at 
Masters Level will be mandatory (applicants finishing a Master’s degree 
along this academic year will also be considered). Proficiency in spoken 
and written English is desired; knowledge of Spanish is not a 
requirement. All qualified candidates will be considered.

*CLOSING DATE*

Deadline: April 27th, 2015 (applications will be evaluated in order of 
arrival)

*FURTHER DETAILS*

Applicants should forward to Antonio D. Masegosa ([log in to unmask]) 
their CV, a summary of research interests, transcript of records 
(courses and grades), a PDF copy of the Master's thesis (if available) 
and, optionally, the contact details (e-mail) of one or more references 
(preferably thesis advisor).