|
|
Frequently Asked Questions
|
Create Your Account Now and Start Posting Resumes and/or Jobs
|
Create/Edit Your Resume
|
Search Jobs
|
Post Jobs, Search Resumes
|
|
|
|
|
| Job Title: |
Advanced Rehabilitation Research and Training Fellowship Program in Brain Injury
|
| Job Number: |
|
| Organization: |
Brain Injury Research Center of Mount Sinai
|
| Posted: |
12/29/2023
|
| Type: |
Full-Time
|
| Classification: |
|
| Industry: |
|
| Number of Openings: |
2
|
| Location: |
New York, NY
|
| Compensation: |
|
| Position Description: |
We are pleased to announce an opening for two (2) post-doctoral fellowship positions in Brain Injury and Rehabilitation Research at the Brain Injury Research Center of Mount Sinai (BIRC-MS). This 2-year, Advanced Rehabilitation Research and Training (ARRT) Program is funded by the National Institute on Disability, Independent Living, and Rehabilitation Research (NIDILRR) and provides advanced training to the next generation of researchers dedicated to improving health and function following brain injury by equipping them with advanced data analytic and methodological skills, familiarity with the lived experiences of the target population, and training in implementation science and knowledge translation. The BIRC- MS is an internationally recognized center for brain injury research that has been continuously funded since 1987 by NIDILRR, the National Institutes of Health (NIH), the Centers for Disease Control and Prevention (CDC), the Patient Centered Outcomes Research Institute (PCORI), and the Department of Defense (DoD). More information about the BIRCMS can be found at: https://icahn.mssm.edu/tbicentral Fellows will spend 80% of their time on Mount Sinai ARRT-specific activities and 20% on activities related to their Individualized Development Plan (IDP) and career development goals. Fellows will receive mentorship from multidisciplinary researchers with national and international populations in a variety of disciplines (epidemiology, rehabilitation, psychology, neuroscience, health services, biostatistics and data science, geriatric, neurology, rehabilitation science), research methods (analysis of complex and administrative data sets, clinical trials, psychometric measurement, survey research methods, comparative effectiveness, IS, qualitative methods), and content expertise (TBI, stroke, behavioral health, health disparities, complex chronic illness, dementia and cognition, neuromodulation, physical function). Fellows will engage in collaborative research, collaborating on one or more studies from the expansive portfolio of ongoing research at the BIRC-MS and across collaborating mentors’ labs. Protected time will be provided to allow fellows the opportunity to foster the skills and autonomy needed to become independent investigators. Fellows will engage in a variety of rehabilitation research didactics and formal coursework tailored to their needs and level of training. Fellows will also participate and receive training in community engagement, implementation science and policy change, and knowledge translation. Fellows will also learn skills in scientific writing, mentorship, scholarly development, and professional and career development. The Mount Sinai ARRT fellowship has two tracks: 1) Quantitative Methods Fellows, and 2) Clinician-Scientist Fellows. These tracks are determined based on an applicant’s background in a clinical or quantitative doctoral program. Fellows in both tracks work alongside each other during their fellowship and learn more within and across respective disciplines. Fellows who have a background in rehabilitation psychology or neuropsychology have the option to dedicate their 20% to clinical activities and didactics in rehabilitation neuropsychology, allowing fellows to obtain the hours necessary for licensure though the Department’s clinical rehabilitation neuropsychology fellowship. ARRT candidates will have completed a doctoral or equivalent degree in a clinical or quantitative field. Candidates will have demonstrated potential for independent research (e.g., completed a quantitative dissertation, peerreviewed publications, multiple conference presentations, and/or at least 2 years of research experience). All candidates must have foundational skills in data analysis, and interest and commitment to rehabilitation research must be evident in prior experience, personal statement, and/or letters of reference. Applications are being accepted on a rolling basis until all fellowship positions are filled. The ARRT start date is flexible depending on the candidate’s timeline. We offer a competitive salary of $65,000 and the potential for subsidized postdoctoral housing. Benefits include health, dental and vision insurances, paid time-off, and conference time. For more information about the fellowship, application procedures, please review a copy of the brochure or email Maria Kajankova, PhD at maria.kajankova@mountsinai.org. Interviews will take place virtually and/or in person.
|
| Qualifications: |
|
| Organization Description: |
|
| Closing Date: |
6/29/2024
|
| Desired Starting Date: |
|
|
|
| Contact Name: |
Maria Kajankova, Advanced Rehabilitation Research and Training Fellowship Program in Brain Injury
|
| Contact Location: |
|
| Contact Location: |
|
| |
|
| |
|
| |
|
| Contact Phone: |
|
| Contact Fax: |
|
| Contact Email: |
maria.kajankova@mountsinai.org
|
| Web Address: |
|
| How to Apply: |
Applications should be sent via e-mail to maria.kajankova@mountsinai.org and must include the following to be considered: • Curriculum vitae that includes citizenship and languages spoken fluently • Cover Letter o Identify 2 BIRC-MS Primary Mentors and 2 Secondary or Co-Mentors with whom you would like to conduct mentored research and why (required) • 2- 4 letters of recommendation from research supervisor(s), e.g. dissertation chair/mentor • Copy of unofficial graduate transcript; if selected, must submit official transcripts • Representative copies of abstracts, publications, and/or research presentations
|
| Additional Information: |
|
| Web Site Delete Date: |
6/26/2024
|
|
|
|
