The Department of Neurosurgery is recruiting for a postdoctoral associate. This position supported by a joint project between the departments of Biomedical Engineering and Neurosurgery at the University at Buffalo. The candidate will be located at Canon Stroke and Vascular Research Center (CSVRC) where (s)he will work under the supervision of Drs Ciprian Ionita and Jason Davies.
The candidate will:
* Lead the research to develop new machine learning methods to predict delayed cerebral ischemia in patient with subarachnoid hemorrhage.
* Mentor and collaborate with undergraduate/MS students and PhD candidates on research.
* Write quarterly scientific reports and manuscripts to be published in peer-reviewed scientific journals.
* Give annual scientific presentations to nationwide catalysis and emission control conferences.
The University at Buffalo is SUNY’s most comprehensive public research university, and an outstanding place to work. UB amplifies ambition for faculty and staff by offering endless possibilities to achieve more. Here, people from all backgrounds and cultures challenge and inspire each other to discover, learn and succeed. Dedicated staff and engaged faculty collaborate to further knowledge and understanding, and develop tenacious graduates who are valued for their talents and their impact on global society. Visit our website to learn more about the http://buffalo.edu/University at Buffalo.
Outstanding Benefits PackageWorking at UB comes with benefits that exceed salary alone. There are personal rewards including comprehensive health and retirement plan options. We also focus on creating and sustaining a healthy mix of work, personal and academic pursuit - all in an effort to support your work-life effectiveness. Visit our benefits website to learn about our http://www.buffalo.edu/administrative-services/for-faculty-staff/benefits/research-foundation/regular-employees.htmlbenefit packages.
As an Equal Opportunity / Affirmative Action employer, the Research Foundation will not discriminate in its employment practices due to an applicant’s race, color, religion, sex, sexual orientation, gender identity, national origin and veteran or disability status.