Research Fellow - ECoG/LFP of Speech Control
Research Fellow - ECoG/LFP of Speech Control
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Job Description
Mass General Brigham relies on a wide range of professionals including doctors nurses business people tech experts researchers and systems analysts to advance our mission. As a not-for-profit we support patient care research teaching and community service striving to provide exceptional care. We believe that high-performing teams drive groundbreaking medical discoveries and invite all applicants to join us and experience what it means to be part of Mass General Brigham.
Job Summary
Postdoctoral Fellow in ECoG/LFP of Speech ControlAn NIH-funded postdoctoral fellow position is available to study speech control in patients with dystonia and tremor using a combination of electrocorticography/local field potential (ECoG/LFP) electroencephalography (EEG) structural (MRI DWI) and functional (fMRI EEG) neuroimaging and clinical-behavioral neurotesting.
The postdoctoral fellows will function as part of a multi-disciplinary team of neuroscientists and clinicians. Responsibilities include participating in all aspects of data acquisition and management; developing modifying and executing analytical protocols; preparing publications and scientific presentations; disseminating results in peer-reviewed scientific journals and at major national and international meetings and mentoring junior staff. Opportunities exist for excellent scientific interactions and collaborations with an extensive program of seminars symposia and other meetings focused on a large array of topics in neuroscience neurosurgery clinical research and neurotechnology.
Qualifications
Qualifications and Skills
- A PhD or MD/PhD degree in Neuroscience Biomedical Engineering Mathematics or related fields of biomedical sciences
- Expertise in ECoG/LFP data processing and other methods of human brain imaging including but not limited to fMRI EEG and DWI
- Solid experience with scientific computing including but not limited to computational (Python MATLAB) and statistical (AFNI FSL SPM) methods
- Strong experience in algorithmic design mathematical models (primarily stochastic differential equation systems) and analysis and integration of dynamical systems
- Independence and professional self-motivation with a proven track record of productive research
- Ability to work effectively independently and collaborate on projects with multiple investigators
- Strong written and verbal communication skills
Excellent academic credentials including a strong publication record strongly preferred.
Additional Job Details (if applicable)
Postdoctoral Fellow in ECoG/LFP of Speech Control
An NIH-funded postdoctoral fellow position is available to study speech control in patients with dystonia and tremor using a combination of electrocorticography/local field potential (ECoG/LFP) electroencephalography (EEG) structural (MRI DWI) and functional (fMRI EEG) neuroimaging and clinical-behavioral neurotesting.
The postdoctoral fellows will function as part of a multi-disciplinary team of neuroscientists and clinicians. Responsibilities include participating in all aspects of data acquisition and management; developing modifying and executing analytical protocols; preparing publications and scientific presentations; disseminating results in peer-reviewed scientific journals and at major national and international meetings and mentoring junior staff. Opportunities exist for excellent scientific interactions and collaborations with an extensive program of seminars symposia and other meetings focused on a large array of topics in neuroscience neurosurgery clinical research and neurotechnology.
Qualifications and Skills
- A PhD or MD/PhD degree in Neuroscience Biomedical Engineering Mathematics or related fields of biomedical sciences
- Expertise in ECoG/LFP data processing and other methods of human brain imaging including but not limited to fMRI EEG and DWI
- Solid experience with scientific computing including but not limited to computational (Python MATLAB) and statistical (AFNI FSL SPM) methods
- Strong experience in algorithmic design mathematical models (primarily stochastic differential equation systems) and analysis and integration of dynamical systems
- Independence and professional self-motivation with a proven track record of productive research
- Ability to work effectively independently and collaborate on projects with multiple investigators
- Strong written and verbal communication skills
Excellent academic credentials including a strong publication record strongly preferred.
Remote Type
Work Location
Scheduled Weekly Hours
Employee Type
Work Shift
EEO Statement:
Mass General Brigham Competency Framework
At Mass General Brigham our competency framework defines what effective leadership looks like by specifying which behaviors are most critical for successful performance at each job level. The framework is comprised of ten competencies (half People-Focused half Performance-Focused) and are defined by observable and measurable skills and behaviors that contribute to workplace effectiveness and career success. These competencies are used to evaluate performance make hiring decisions identify development needs mobilize employees across our system and establish a strong talent pipeline.
Employment Type
Full-Time
