Maryam Shanechi 南加州大学电气和计算机工程副教授和Viterbi Early Career Chair。她于2014 年 7 月加入南加州大学担任助理教授。在此之前，她于 2014 年担任康奈尔大学 ECE 系的助理教授。2004 年获得多伦多大学工程科学荣誉学位和分别于 2006 年和 2011 年获得麻省理工学院电气工程和计算机科学专业的硕士和博士学位。 She works at the interface of statistical inference and signal processing, machine learning, and control to develop neurotechnology and study the brain through decoding and control of neural dynamics. Her work has led to closed-loop brain-machine interfaces (BMI) for motor function and for deep brain stimulation to treat neuropsychiatric disorders. She is also the PI of a joint US/UK multidisciplinary university research initiative (MURI) to lead the development of multiscale BMIs.
Neural Systems Engineering & Information Processing Lab实验室介绍
The Shanechi Lab is recruiting postdoctoral scholars to work on multi-institutional NIH and DoD grants at the interface of machine learning, control theory and neuroscience. The projects will (i) develop novel methods for modeling and decoding brain network activity, and for controlling this activity with electrical or optogenetic stimulation, (ii) study brain network dynamics underlying movements in nonhuman primates and mood states in humans, and (iii) develop closed-loop neurotechnology in humans.
Position details博士后岗位介绍:The postdoctoral scholars will have a unique opportunity to lead a highly interdisciplinary effort and interact with renowned experts in electrical engineering, computer science, and neuroscience across multiple academic institutions as part of an NIH R01 grant, an NIH New Innovator DP2 grant, and joint US/UK multidisciplinary university research initiative (MURI) and bilateral academic research initiative (BARI) DoD grants.
Ø The new NIH R01 grant will develop a system for model-based neural control of electrical brain stimulation in mood and mental disorders and will test the system in human patients with intracranial electrodes in collaboration with Edward Chang’s Lab at UCSF.
Ø The new NIH New Innovator Award (DP2) will develop geometric nonlinear dynamical models and decoders of neural population activity to study neural dynamics during motor and cognitive tasks in human and nonhuman primate datasets.
Ø The multi-institutional MURI/BARI DoD grants led by the Shanechi lab include collaborators at UC Berkeley, Duke, Harvard, NYU, UCLA, Imperial, UCL, and Essex and develop machine learning methods for modeling multiscale neural recordings as well as non-invasive EEG BCIs for enhanced decision accuracy.
Applicant qualifications 申请要求:Applicants should have a PhD in electrical engineering, computer science, applied math, statistics, physics, or a related field. Some background in neuroscience is helpful, but not required. The duration of postdoc is negotiable, but a minimum of two years is preferred. The positions are available now, but the start date is flexible.
How to apply 申请:Interested applicants should contact Professor Shanechi at shanechi@usc.edu and include a CV.
Graduate Student Openings 博士招生
We are recruiting PhD students with strong mathematical background who are interested in developing machine learning, signal processing and control-theoretic algorithms for neural engineering and neuroscience applications. Interested candidates should contact shanechi@usc.edu.
