Postdoctoral Position in Neuroimaging Data Analysis and Fusion/latent Variable Methods

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Postdoctoral Position in Neuroimaging Data Analysis and Fusion/latent Variable Methods

University of Maryland, Baltimore County
Country of Position: 
United States
Contact Name: 
Tulay Adali
Subject Area: 
Machine Learning for Signal Processing
Start Date: 
01 June 2022
Expiration Date: 
01 October 2022
Position Description: 

Postdoctoral position in neuroimaging data analysis and fusion

Start date: Summer 2022

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

Machine Learning for Signal Processing Laboratory ( at University of Maryland Baltimore County, Baltimore, MD

Description: The postdoctoral appointment is supported by a grant from the NIH and offers salary higher than the guidelines provided by the NIH. The focus is on multimodal data fusion and study of brain dynamics using latent variable models.

The candidate should have a strong background in statistical signal processing/machine learning 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 processing of medical data, especially of fMRI is a big plus.

UMBC is an Equal Opportunity and Affirmative Action Institution.

To apply: Please send your application along with a complete CV and contact information
of at least three references to Tülay Adali at and include "Postdoctoral position at the MLSP Lab, Summer 2022" in the subject line of your email. 

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