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3 Postdoc Openings in Advancing Precision Neuromodulation for Brain Health at the NIH  

 

Rhys Morgan
(@rhysmorgan)
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26/06/2020 9:29 am  

Job Postings — Postdoctoral Fellowships at the Noninvasive Neuromodulation Unit (NNU), NIMH

The Noninvasive Neuromodulation Unit (NNU), Experimental Therapeutics and Pathophysiology Branch, National Institute of Mental Health Intramural Research Program is recruiting for the position of postdoctoral fellow focusing on computational neuromodulation. The NNU is committed to nurturing an inclusive environment where individuals from diverse backgrounds can thrive. The NNU specializes in the development of novel noninvasive neuromodulation tools (including transcranial magnetic stimulation (TMS) and experimental forms of seizure therapy) for the study and treatment of brain-based disorders in psychiatry. Activities of the NNU include design and fabrication of novel devices for electrical and magnetic stimulation of the brain, modeling of the electric field induced in the brain by noninvasive devices, testing of novel devices and paradigms in healthy volunteers to optimize the efficiency and potency of neuroplastic effects, and clinical testing in patient populations of target-engagement and therapeutic neuromodulation.

 

Postdoctoral Fellow in Computational Neuromodulation: Current projects apply computational techniques to study the physics and mechanisms of neurostimulation, and to optimize dosing and individualization. We use finite element modeling (FEM) to characterize the electric and magnetic fields induced in the brain by various transcranial stimulation modalities including transcranial magnetic stimulation (TMS), electroconvulsive therapy (ECT), magnetic seizure therapy (MST), transcranial electrical stimulation (tES), and low-field magnetic stimulation (LFMS). We aim to develop biophysically principled models of the electromagnetic field effects on neural circuit dynamics. The methodological focus will be on combined neural modeling with transcranial brain stimulation. The ideal candidate holds a PhD and/or MD degree in neuroscience, physics, computer science, engineering, mathematics, psychiatry, or related disciplines, and has solid technical skills and programming/data analysis experience (MATLAB, Python, NEURON, FEM, etc.). Experience with the acquisition and analysis of electrophysiological and functional neuroimaging data is highly desirable. The postdoctoral fellow will provide mentoring of post-baccalaureate intramural research training awardees (post-bac IRTAs).

 

Postdoctoral Fellow in Neuromodulation, Neuroimaging, and Neurodevelopment: The successful postdoctoral candidate will have PhD and/or MD level training in neuroscience, psychology, psychiatry or related fields. The successful candidate will also have experience with neuroimaging (including magnetic resonance imaging (MRI) and magnetoencephalography (MEG)), neuromodulation devices (including transcranial magnetic stimulation (TMS) and/or transcranial direct/alternating current stimulation (tDCS)), and working with autism spectrum disorder (ASD) or related neurodevelopmental disorder populations. Expertise with neuroimaging software (AFNI, SPM, freesurfer, FSL) and statistical analysis programs (SPSS, R, SAS) is required. The postdoctoral fellow will provide neuroimaging support for all efforts in the NNU across studies, including support for data acquisition and analysis pipelines, mentoring of post-baccalaureate intramural research training awardees (post-bac IRTAs), and development of novel neuromodulatory and neuroimaging protocols for use across patient populations of interest (mood or developmental disorders).

 

Postdoctoral Fellow in Neuromodulation, Neuroimaging, and Neurophysiology: Current projects include 1) applying connectivity-informed concurrent TMS-fMRI and TMS-EEG to identify and manipulate brain networks implicated in major depression, and 2) applying brain-state dependent stimulation to enhance neuromodulatory efficacy. The methodological focus will be on combined multimodal neuroimaging and neurophysiology with transcranial brain stimulation. The ideal candidate holds a PhD and/or MD in neuroscience, biomedical engineering, psychology, psychiatry, or related fields, and has advanced technical skills, and programming/imaging data analysis experience (MATLAB, Python, etc.). Training in experimental methods and statistics is required. Experience with the acquisition and analysis of (f)MRI data, particularly with functional and/or structure connectivity, and TMS-evoked potentials is highly desirable. Prior experience with TMS and EEG is desirable. The postdoctoral fellow will provide neuroimaging and neurophysiology support for all efforts in the NNU across studies, including support for data acquisition and analysis pipelines, mentoring of post-baccalaureate intramural research training awardees (post-bac IRTAs), and development of novel neuromodulatory and neuroimaging protocols for use across patient populations of interest (mood or developmental disorders).

Salary will be commensurate with education and experience. Applicants are invited to submit a curriculum vitae including publication list, a one-page summary of research interests, and names and contact details of three referees to Dr. Sarah Hollingsworth "Holly" Lisanby by email at Sarah.Lisanby@nih.gov. The National Institute of Health is an equal opportunity employer. Women and persons from under-represented groups are encouraged to apply.

This topic was modified 3 months ago 2 times by Rhys Morgan

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