A one-year funded Post-Doc position in Computational Intelligence at is
available at DIBRIS - University of Genoa, (Italy). The deadline for
application is 21 Aug 2017 at 12.00 (Italian time) and the fellowship
should start in Dec 2017.
Project title: Unbounded data streams learning: unsupervised methods and
Research activity: The project addresses the problem of clustering
unstructured, non-stationary data streams. Objectives: (1,
methodological) Extension of the Graded Possibilistic Clustering method
to data streams; (2, methodological) Extension of spectral clustering to
streams with complexity control; (3, applicative) Applications to
problems in urban traffic forecasting (smart cities), web session
analysis, wearable sensors for health monitoring. Existing methods will
be adapted to accept incremental updates, and learning will be
controlled through appropriate objectives connecting model parameters to
measures of fit and of model complexity to allow updates when needed and
to the extent needed.
Required qualification: PhD and/or Master in Computer Science,
Electronics, Bio-Engineering, Physics, or Mathematics.
We are looking for a self-motivated candidate, interested in the
mathematical aspects of her/his research, in the development of new
methods for intelligent data analysis, and in technology transfer, and
skilled in programming and in thorough experimental data analysis.
Italian and international candidates are invited to send their cv, a
letter of motivation, and the name/email-addresses of some referees to
Prof. Stefano Rovetta <[log in to unmask]> A.S.A.P.