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The Computational Medicine Laboratory (CML) at the University of Houston is currently looking to recruit one highly motivated and creative Ph.D. student with applied mathematics, signal processing, and/or control theory background to develop mathematical algorithms for biomedical engineering applications with a focus on human subject research.
CML mainly focuses on designing control, optimization, estimation, signal processing, and machine learning algorithms for biomedical and neural engineering applications. The ideal candidate has obtained their B.S. degree in electrical engineering (or related fields, e.g. mechanical, computer or biomedical engineering, computer science, applied mathematics, statistics, etc.) focusing on control theory and/or signal processing.
The projects involve algorithm design and validation in real-time experiments with human recordings. Interested candidates should email Dr. Rose Faghih (email: email@example.com) with the required documents listed at: http://ComputationalMedicineLab.ece.uh.edu/prospective-students/