[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
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
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).