Connectionists: Postdoctoral position in latent variable analysis for data fusion

[2016 IEEE International Workshop on Machine Learning fo Signal Processing]

Postdoctoral position in latent variable analysis for data fusion

Starting date: April 2016 to December 2016

Duration: One to four years (initial appointment is for one year)


Location: Machine Learning for Signal Processing Laboratory 
(http://mlsp.umbc.edu) at University of Maryland Baltimore County, 
Baltimore, MD and Army Research Laboratory, Aberdeen Proving Ground, MD 
working with Drs. Tülay Adali and Justin Brooks

Description:

The main goal of the project is contributing to the understanding of 
human behavior and hence to develop novel methods to predict an 
individual’s future performance. This will require incorporation of 
multiple factors and their interactions into the analysis, spanning 
multiple time scales across a large group of individuals. The emphasis 
will be on fusion of multiple physiologic signals, as well as their 
analysis/fusion with other available data such as social and behavioral 
data.

The candidate should have a strong background in statistical signal 
processing and a Ph.D. in Electrical Engineering, Math/Statistics, or in 
a related field. In addition, background
in the theory and practice of 
latent variable analysis methods such as blind source separation is 
highly desirable. Familiarity with the processing of medical data is 
another plus.

To apply: If interested, please send your application along with a 
complete CV and contact information of at least three references to 
Tülay Adali
at adali at umbc.edu