[visionlist] Postdoctoral Fellowship Position in EEG Signal Processing

[Papageorgiou, Theodora Dorina]

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: (i) 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; (iii) develop optimization neurofeedback approaches via computational modelling; (iv) develop MR-compatible instruments that will assist in examining plasticity for our longitudinal studies.


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, as well as collaborations with Engineering faculty at Rice University, as the PI has a faculty appointment in the Dept. of Electrical & Computer Engineering at Rice University.


Essential Duties
Signal processing biomedical time series analysis, such as EEG.
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 plan real-time fMRI neurofeedback paradigms.

Qualifications

Prerequisite is a Ph.D. in a relevant field: Bio-engineering/Biomedical Engineering; Electrical Engineering; MR physics; Neuroscience; Computer Science, Applied Physics.
Strong expertise in signal processing.
Strong programming experience in C/C++, Matlab or Python. Knowledge of Unix environment is a plus.
Demonstrated advanced analytical and experimental skills.

Desired Qualifications - Preference will be given to applicants with experience in any of the following:
Statistical Modeling

fMRI methods and analysis

EEG signal processing.



Apply: Please send a pdf or word CV, 3-4 references, and cover letter to Dr. Dorina Papageorgiou at papageor at bcm.edu<mailto:papageor at bcm.edu>

Compensation commensurate with experience.

Baylor College of Medicine is an Equal Opportunity /Affirmative Action/Equal Access Employer.




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