Postdoctoral Research Fellow in New York – MR correlates of Gait and Falls in multiple sclerosis
A postdoctoral research fellow position is available immediately in the departments of Radiology and Neurology at the Albert Einstein College of Medicine in NY. The goal of our NIH-funded project (Brain predictors of mobility and falls in older adults with multiple sclerosis - 5R01NS109023) is to investigate the structural and functional brain correlates of gait impairment and falls in older multiple sclerosis patients. Using innovative statistical modeling methods allowing us to draw inferences from walking data (functional near-infrared spectroscopy during complex walking tasks) combined with advanced structural and functional imaging data, the project aims to elucidate the brain pathways involved in cognitive control of walking, and their relationship to risk of falls, and how these pathways are affected in elderly MS patients.
We currently have collected data structural and/or functional MRI methods (e.g. DTI/NODDI, rs-fMRI) on > 150 patients and controls, an extremely rich dataset which will be available to the research fellow for data analysis, manuscript generation and exploring new data and modeling approaches to these data. We are seeking a highly-motivated individual with experience in neuroimaging analysis methodologies.
Candidates should have:
- PhD in BME, physics, computer science, cognitive neuroscience or related disciplines,
- Experience with structural and/or functional MRI data analysis (e.g. NODDI, rs-fMRI).
- Solid programming background (e.g., FSL, SPM, Freesurfer, Matlab)
- Comfortable with data analysis in a Linux environment.
- Familiarity with computational and statistical methods related to imaging analyses.
A strong work ethic, excellent organizational and communication skills is expected as well as the ability to work in an interdisciplinary environment. Willingness to learn new techniques or software environments and a strong foundation in neuroanatomy is plus. Writing experience, a good publication record, and the ability to work independently will be strongly favorable.
The Albert Einstein College of Medicine is a leading academic institution, with over $170M in NIH funding. The candidate will have access to state-of-the-art brain imaging (3T MRI) and computing facilities. Einstein is one of the nation’s premier institutions for medical education, basic research and clinical investigation. It is home to some 2,000 faculty members, 750 M.D. students, 350 Ph.D. students attending the Sue Golding Graduate Division — including 125 in the combined M.D./Ph.D. program — and 325 postdoctoral investigators training at our Belfer Institute for Advanced Biomedical Studies. More than 7,000 Einstein alumni are among the nation’s foremost clinicians, biomedical scientists and medical educators.
Interested candidates should send their CV, a brief statement of their research interests and career goals, and the names and contact info of three references to Mark Wagshul (mark.wagshul@einsteinmed.edu). Review of applications will begin immediately and continue until the position is filled.
The Albert Einstein College of Medicine is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information. Einstein seeks candidates whose skills, and personal and professional experience, have prepared them to contribute to our commitment to diversity and excellence, and the communities we serve.
Mark Wagshul, PhD
Associate Professor
Gruss Magnetic Resonance Research Center
Albert Einstein College of Medicine
Bronx, NY 10461
Ph: 718-430-4011
FAX: 718-430-3399
Email: mark.wagshul@einsteinmed.edu
This email message and any accompanying attachments may contain privileged information intended only for the named recipient(s). If you are not the intended recipient(s), you are hereby notified that the dissemination, distribution, and or copying of this message is strictly prohibited. If you receive this message in error, or are not the named recipient(s), please notify the sender at the email address above, delete this email from your computer, and destroy any copies in any form immediately.