Baylor College of Medicine Houston, TX, USA
Nov 21, 2017Full time
Job description: Postdoctoral Fellowship Position in the Dept. of Psychiatry, Baylor College of Medicine & Electrical & Computer Engineering, Rice University The Papageorgiou/Investigational Targeted Brain Neurotherapeutics Laboratory is seeking a highly motivated post-doctoral fellow to conduct innovative research to study neuromodulation and neurorehabilitative approaches using imaging-based neurofeedback. Our Laboratory focuses on the following areas: -to elucidate the mechanisms that guide plasticity following insult to the brain, by using structural, and functional measures; (ii) induce functional plasticity/reorganization of the brain by applying neurofeedback methods, such as real-time fMRI and EEG -develop optimization neurofeedback approaches via computational modelling -develop MR- compatible instruments that will assist in examining plasticity for our longitudinal studies. -Signal processing and data extraction using intelligent algorithms, such as machine learning techniques. -Prepare and conduct technical presentations. -Document research, and write-up papers in peer-reviewed journals. -Work within a team to coordinate resources and plan real-time fMRI neurofeedback paradigms. -The postdoctoral fellow is expected to synchronize the EEG software with other hardwares and softwares within our MRI experimental milieu. This candidate should have a strong background in signal processing, time series analysis, particularly experience in analyzing EEG time series. The trainee will benefit from: the Core for Advanced MR Imaging Facility at Baylor College of Medicine, which includes a state-of-the art imaging facility with research-dedicated Siemens 3T PRISMA, and 3T MAGNETOM Trio. Education, training, experience: Required: -Ph.D. in a relevant field: Bio-engineering/Biomedical Engineering; Electrical Engineering; MR physics; Neuroscience; Computer Science, Applied Physics. -Experience with biomedical time series analysis, preferably EEG. -Strong expertise in signal processing. -Strong programming experience in C/C++, Matlab or Python. -Demonstrated written and verbal communication skills to author technical and scientific reports, publications, and invited papers, and deliver scientific presentations. -Demonstrated interpersonal communication skills necessary to collaborate effectively in a team environment and be capable of independent original work. Preferred: -Knowledge of Unix environment is a plus. -Preference will be given to applicants with experience in: GPU parallel systems Statistical Modeling fMRI methods and analysis EEG- and/or EMG signal processing. Baylor College of Medicine is an Equal Opportunity/Affirmative Action/Equal Access Employer.