Site: Massachusetts Eye and Ear Infirmary
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 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
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
Onsite
Work Location
243-245 Charles Street
Scheduled Weekly Hours
40
Employee Type
Regular
Work Shift
Day (United States of America)
EEO Statement
Massachusetts Eye and Ear Infirmary is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religious creed, national origin, sex, age, gender identity, disability, sexual orientation, military service, genetic information, and/or other status protected under law. We will ensure that all individuals with a disability are provided a reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. To ensure reasonable accommodation for individuals protected by Section 503 of the Rehabilitation Act of 1973, the Vietnam Veteran’s Readjustment Act of 1974, and Title I of the Americans with Disabilities Act of 1990, applicants who require accommodation in the job application process may contact Human Resources at (857)-282-7642.
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.
