急急急：dual status 求救# TAX - 交税与退税
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University of Houston, Biomedical Engineering
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 n****[email protected] 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.
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 n****[email protected] 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.
