Assistant Professor without tenure (WOT), Neurological Surgery
- Employer
- University of Washington
- Location
- Washington, United States
- Salary
- $7,114.00 - $8,849.00
- Date posted
- Mar 2, 2023
View more
- Position Type
- Faculty Positions, Health & Medicine, Medicine, Other Health & Medicine, Surgery
- Employment Level
- Non-Tenured Track
- Employment Type
- Full Time
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The Department of Neurological Surgery, University of Washington
School of Medicine, invites applications for a full-time research
position (100% FTE), at the rank of Assistant Professor without
tenure due to funding.
This position will lead research, teaching and mentorship in the Department of Neurological Surgery Stroke and Applied Neuroscience Center (SANS). This position will be responsible for executing computational fluid dynamics research for all aspects of neurological surgery with a particular focus on cerebrovascular and cardiovascular disease. This includes computer simulation and 3D-printed models, as well as database maintenance, and grant writing. Additional research topics may include chart review, big data analysis and manipulation, and radiological studies.
Requirements include a Ph.D. in Mechanical Engineering or a related field or a foreign equivalent degree. Demonstrated research experience in computational fluid dynamics is required. Successful peer reviewed biomedical research publications, grant submission track record and secured external funding is required.
This position will lead research, teaching and mentorship in the Department of Neurological Surgery Stroke and Applied Neuroscience Center (SANS). This position will be responsible for executing computational fluid dynamics research for all aspects of neurological surgery with a particular focus on cerebrovascular and cardiovascular disease. This includes computer simulation and 3D-printed models, as well as database maintenance, and grant writing. Additional research topics may include chart review, big data analysis and manipulation, and radiological studies.
Requirements include a Ph.D. in Mechanical Engineering or a related field or a foreign equivalent degree. Demonstrated research experience in computational fluid dynamics is required. Successful peer reviewed biomedical research publications, grant submission track record and secured external funding is required.
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