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Postdoctoral Fellow Positions in Multi-Modal Brain Imaging and Neural Modeling 

 
We have 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 dystonia. 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 genetic factors that contribute to the pathophysiology of dystonia. 
 
The postdoctoral fellows will function as part of a multidisciplinary team of neuroscientists, geneticists, neurologists, and laryngologists at Mass. Eye and Ear and Mass General Hospital, affiliating teaching hospitals of Harvard Medical School. 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, presentations at the national and international meetings, and mentoring the junior staff. Excellent opportunities exist for various scientific interactions and collaborations with the 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. 
 
The postdoctoral fellow may work on one or more of the following projects. 
 
Dystonia 
(I) Abnormal patterns of brain functional and structural organization underlying the pathophysiology of focal dystonia (a combined multi-modal neuroimaging study).
(II) Abnormal causal relationships within large-scale neural networks in dystonia (graph theoretical analysis of functional and structural MRI data). 
(III) Genetic influences as risk factors in the development of abnormal neural activity and networks in dystonia (a combination of whole-exome sequencing and multi-modal neuroimaging data analysis).
(IV) Primary mechanistic markers of action of a novel oral medication in patients with dystonia (a combination of neuroimaging and pharmacogenomics).
(V) Neuropathology of focal dystonia (a combination of neuropathological analysis of postmortem brain tissue and structural neuroimaging).
(VI) Computational modeling of the disorder state in dystonia.
 
Normal Speech Production 
(I) Neuroimaging studies of the laryngeal motor cortex during production of speech and other laryngeal behaviors.
(II) 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 the 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
Position Duration
Full-time, 1-year initial contract, renewable annually contingent upon performance.
 
Salary
Commensurate with experience according to the Mass. Eye and Ear Policies and Procedures.
 
Deadline
The positions are available immediately and applications are considered on an ongoing basis until the positions are filled.
 
How to Apply
Applications should be sent to Dr. Kristina Simonyan at Kristina_Simonyan@meei.harvard.edu and should include the candidate’s CV along with a list of publications, a statement of interest in the position, and the names and contact information of at least three professional referees.
 
Mass. Eye and Ear is an equal opportunity/affirmative action employer. We recognize the power and importance of a diverse employee population and strongly encourage applicants with various experiences and backgrounds.