Jumat, 17 April 2015

PhD studentships: Data Science for Intelligent Transportation Systems


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


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.


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.


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.


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


Applicants should forward to Antonio D. Masegosa (ad.masegosa@deusto.es) 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).

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