GENERAL SUMMARY/ OVERVIEW STATEMENT:
A multi-year postdoctoral research fellow position in human neuroscience is available in the Lam Laboratory (Alice Lam, MD PhD) at the Massachusetts General Hospital. The fellow's primary responsibilities will be to develop and refine machine learning tools to non-invasively diagnose and monitor "silent" epileptiform activity from deep brain regions such as the hippocampus, and to apply these tools to study the role of silent epileptiform activity in various neurologic and psychiatric diseases, including epilepsy and Alzheimer's disease.
The incumbent must possess a strong programming background (Python, MATLAB), expertise in machine learning (specifically, deep learning), a solid foundation in signal processing, and prior experience working with human neurophysiologic data (scalp EEG and intracranial EEG). Prior experience with neuroimaging analysis (e.g., MRI, PET) is also desirable, but not required. This is an exciting opportunity to combine novel machine learning applications with multi-modal clinical data to gain new and clinically meaningful insights into the mechanisms of brain disease. The fellow will work collaboratively with a team of clinicians, computational engineers, and research coordinators. There will be extensive opportunities to learn about clinical and translational neuroscience and patient-centered research. A successful fellow will be well-positioned to launch an independent research program in clinical neuroscience.
PRINCIPAL DUTIES AND RESPONSIBILITIES:
The incumbent in this position will be responsible for:
SKILLS/ABILITIES/COMPETENCIES REQUIRED:
This position requires independence, problem solving capabilities, an ability to multi-task, attention to detail and organization, and a strong ability to communicate effectively within a collaborative research setting.
Required:
EDUCATION:
PhD in a relevant discipline. This may include neuroscience, engineering specialties, computer science, cognitive science, or mathematics / statistics. Candidates should describe in their cover letter how their specific academic background is relevant to the challenge of neuroscience data analysis.
EXPERIENCE:
A PhD or equivalent degree is required.
SUPERVISORY RESPONSIBILITY (if applicable):
None, but the incumbent will be expected to play an informal role in mentoring trainees in the lab working on machine learning and signal processing projects.
WORKING CONDITIONS:
Office setting on the main campus of the Massachusetts General Hospital.
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