Postdoctoral Fellow – Demitre Serletis Lab
ID: 7100706 (Ref.No. ccf15830867)
Posted: May 20, 2022
Application Deadline: Open Until Filled
The Brain Dynamics Laboratory seeks to investigate intracranial signals recorded from the human brain, using advanced neuroengineering methodologies to characterize the inherent dynamical transitions and network activity underscoring healthy and disease conditions. A particular focus is on epilepsy and the analysis of multimodal data, including multi-site spatiotemporal electrophysiological recordings collected in vivo, to develop and implement dynamics-based surgical decision-making. Data-driven methods are drawn from computational signal processing, data science (including machine learning and artificial intelligence-based techniques), neurophysiology, mathematics, physics, statistics and econometrics, amongst other disciplines. The lab functions within the auspices of the Epilepsy Center at the Cleveland Clinic and resides within the Neurological Institute, with close affiliations to the Department of Biomedical Engineering (Lerner Research Institute). As a developing research hub, it seeks to establish a widely collaborative network with diverse scientific teams, to drive the investigation and development of techniques and technologies with clinical and surgical impact. The Brain Dynamics Laboratory seeks qualified individuals aspiring to advance a research career in neuroengineering and neuromodulation, while closely working with a team of clinical and research specialists.
The postdoctoral fellow will have the opportunity to:
- Advance training in neuroengineering-based signal analysis of human intracranial EEG signals; data science (including machine learning and AI); data-driven computational modelling; neurophysiology; and surgical approaches to the investigation and treatment of epilepsy as a network disorder, including neuromodulation-based therapies.
- Access state-of-the-art clinical/research facilities while gaining familiarity with the work-up, management and surgical management of epilepsy.
- Participate in interdisciplinary research together with neurologists, neurosurgeons, radiologists, neuropsychologists, neuroscientists and engineers.
Principal Investigator: Demitre Serletis, MD PhD FRCSC FAANS FACS FAES
Department: Neurological Institute (Charles Shor Epilepsy Center)
Lab Research Topics:
- Signal processing
- Nonlinear dynamics
- Data Science (AI, Machine Learning, Deep Learning, Artificial Neural Networks)
- For more information about the lab’s research, please visit: contact Dr. Serletis at [email protected]
- Independently lead project designs with the goals of data generation, analysis, interpretation and manuscript preparation.
- Collect and analyze human electrophysiological signals, imaging and other multimodal data.
- Participate in formation of a unique stereoEEG database for the purposes of dynamics-based, data-driven analyses to guide surgical-decision making.
- Develop an analytical platform for investigating and presenting nonlinear dynamics inherent to intracranial EEG signals, using data science methods (AI, Machine Learning, Deep Learning, etc) and computational modelling techniques to study network dynamics and functional connectivity in epilepsy.
- PhD or MD/PhD required
- MD with relevant laboratory experience may substitute for PhD
- English Proficiency proof required for candidates arriving on J-1, J-2, or F1 + OPT visa status
- Previous experience in a research or academic setting. Graduate student experience meets this requirement.
- Scientific writing experience
Additional Preferred Qualities:
- Preference will be given to applicants with knowledge in data science (machine learning; deep learning; big data), with strong skills in at least one programming language (Python; Matlab; Julia; and/or R).
- Experience with human intracranial EEG signal analysis is preferred, but not required.
- Computational/Biomedical Engineering background preferred.
- Strong computational skills required.
- Excellent communication (including writing) skills.
Personal Protective Equipment:
- PPE per institutional requirements; may vary by laboratory
Preferred Application Materials: All application materials should be submitted directly via email to Demitre Serletis at [email protected].
- Three references
- Research Statement, including research vision and expected contributions to the program, reasons for applying for the postdoctoral fellow position, future career goals, and how this postdoctoral position will help you achieve these goals.
Keywords: Postdoc, Research, LRI, Neuroengineering, Biomedical engineering, Epilepsy, Human, Intracranial, Nonlinear, Dynamics, Artificial intelligence, Machine learning, Deep learning, sEEG, Neurophysiology, Electrophysiology, Feedback control, Data science, Artificial neural networks, Brain.
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