Postdoctoral positions in Multi-Modal Brain Imaging and Machine Learning at Harvard Medical School
Mass Eye and Ear/Harvard Medical School
January 12, 2018
Full Time - Experienced
Hospital, Public and Private
Postdoctoral Fellow Positions in Multi-Modal Brain Imaging, Machine Learning, and Neural Modeling at Harvard Medical School
The Dystonia and Speech Motor Control Laboratory, masseyeandear.org/simonyanlab at Mass Eye and Ear and Mass General Hospital has several open postdoctoral fellow positions to study normal and diseased organization of large-scale networks controlling highly skilled motor behaviors. We employ multi-modal neuroimaging methodologies, including task-production, resting-state and pharmacological fMRI, high-resolution structural MRI, diffusion weighted imaging, and direct intracranial EEG, to examine brain functional, effective and structural connectivity in healthy individuals and patients with neurological disorders - dystonia and epilepsy. Our analytic approaches include, but are not limited to, graph theoretical analysis of large-scale neural networks, the application of novel machine learning algorithms for diagnostic and predictive classification of neurological disorders, and neural population modeling. In addition, we are examining the interplay between imaging, behavioral and genetics factors that contribute to the pathophysiology of neurological disorders.
The postdoctoral fellow will function as part of a multidisciplinary team of neuroscientists, geneticists, neurologists and laryngologists at Mass Eye and Ear and Mass General Hospital and in collaboration with neurosurgeons at UMass Memorial Medical Center. Responsibilities will include the conduct of all aspects of the research protocol, such as the development, modification and execution of data analysis, preparation of publications and scientific presentations, dissemination of the results through peer-reviewed scientific journals and at the major national and international meetings, and mentoring the junior staff. Excellent opportunities exist for various scientific interactions and collaborations with experts in the fields of neuroscience, movement disorders, and genetics as well as for participation in the extensive programs of seminars, symposia, and other relevant meetings within Harvard Medical School.
The postdoctoral fellow may work on one or more projects.
(I) Machine learning for identification and validation of neuroimaging and genetic markers of dystonia and the prediction of risk for dystonia development.
(II) Graph theoretical analysis, machine learning and pharmacogenomics for identification of primary mechanistic markers of action of a novel oral medication in patients with dystonia.
(III) Abnormalities of brain activation and neural networks across different forms of task-specific focal dystonia using a combination of structural and functional neuroimaging techniques, genetic analysis, and behavioral neurotesting.
(I) Graph theoretical analysis of high-resolution intracranial EEG data for identification of the topology of large-scale neural connectivity in epilepsy and the development of neural markers for prediction of epileptic seizures.
Normal speech production
(I) Development and implementation of large-scale neural population models incorporating neurotransmission for simulation and prediction of brain activity during speech production.
Qualifications and Skills
PhD in neuroscience, mathematics, computer science, bioengineering, or related fields
Exceptionally strong computational and biostatistical skills to implement and integrate the analysis of multi-dimensional imaging, clinical and/or genetic datasets
Solid experience in Python, MATLAB, and C
Strong experience in algorithmic design, mathematical models (primarily stochastic differential equation systems), and analysis and integration of dynamic systems
Independent, self-motivated with a proven track record of productive research
Excellent verbal and written communication skills
Ability to work effectively both independently and in collaboration with multiple investigators
Strong publication record and excellent academic credentials
Full-time, 1-year initial contract, renewable annually contingent upon performance.
Commensurate with experience according to the Mass Eye and Ear Policies and Procedures.
The positions are available immediately and the applications are considered on an ongoing basis until the positions are filled.