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Three PhD positions are available at the Biosignal Processing and Neural Interfacing Laboratory in the Biomedical Engineering Department of the University of Houston. A list of the 3 research themes are shown below.
i. “Spatial Decoding of Neural Activity in a Brain Machine Interface” ii. “Processing ECoG recordings from Epileptic Subjects” iii. “Investigation of Local Field Potentials Recorded from Subthalamic Nucleus of Parkinsonian Subjects”
The successful candidates will work under the supervision of Prof. Nuri Firat Ince. All projects will build on strong interactions with the hospitals in the US and in Beijing, China. The PhD students will work in an interdisciplinary team composed of neuroscientists, neurosurgeons, electrical and computer engineers. A keen interest in clinical neuroengineering and neuroscience is essential. The focus of each research direction is to develop novel neural decoding and state estimation algorithms by using state of the art signal processing and machine learning methods. In each project, the PhD student will participate in system development, clinical data collection and multidimensional signal analysis.
Eligible candidates must have gained a BSc or MSc degree (preferred) in a discipline relevant to the research themes, e.g. biomedical engineering, electrical engineering, neuroscience etc. They must possess a good command of English. Programming experience with Matlab and C(C++) is desirable. Previous experience in biosignal processing and machine learning is a plus. Funding is available for all there positions for up to two years. Further support will depend on available funding and performance.
Candidates are encouraged to email their updated CV, two support letters from established researchers and a motivation letter to nfince@uh.edu before the 10th of March of 2013. The subject heading should be specified as “PhD Application” and in the body of the mail preferred thematic area should be clearly indicated. Short-listed candidates will be contacted in the third week of March 2013. |
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