Postdoctoral position in neuroimaging data analysis and fusion
Machine Learning for Signal Processing Laboratory (MLSP Lab: http://mlsp.umbc.edu), University of Maryland Baltimore County (UMBC: http://www.umbc.edu), Baltimore, MD.
Starting date: Negotiable
Duration: One to four years (initial appointment is for one year)
Description: Looking for motivated and creative students to work in an array of exciting machine learning projects on latent variable models with application to fusion and analysis of neuroimaging data. 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 neuroimaging data, especially of fMRI is a big plus.
The MLSP group is an active research group whose work is supported by multiple grants from the NIH and the NSF, and has active research collaborations with the Georgia State University/Georgia Institute of Technology/Emory University Center for Translational Research in Neuroimaging and Data Science (TReNDS, https://trendscenter.org), the University of Maryland Medical School, Baltimore, University of Paderborn, Germany, CentraleSupelec, France, University of Lorraine, France, and Simula Lab, Norway.
UMBC, is one of two public universities in Maryland to achieve the “doctoral/research university-extensive” Carnegie classification. Located just outside Baltimore and 45 minutes from Washington, DC, the campus is growing rapidly under dynamic leadership.
UMBC is an Equal Opportunity and Affirmative Action Institution.
To apply: Please send your application along with a complete CV, a cover letter explaining how your work is relevant to the ongoing work in the lab, and contact informatio of at least three references to Tülay Adali at ad...@umbc.edu and include “Postdoctoral position at the MLSP Lab” in the subject line of your email.