The University of Florida (UF) is embarking on a campus-wide strategic initiative to hire clusters of faculty members with expertise in Artificial Intelligence (AI), broadly defined. As part of this initiative, the Department of Neurosurgery is seeking qualified applicants for a tenure-track faculty position focusing on AI applications in brain tumor diagnosis, treatment, and/or health outcomes. Additionally, applications for neurosurgical diseases, i.e. cerebrovascular disease, primary and metastatic tumors treated by stereotactic radiosurgery (SRS), etc. where data science, machine learning, and AI applications may improve diagnosis, treatment, and/or disease prevention are of interest.

Additional expectations of the position include:

•Maintaining a strong sponsored research program, supervising graduate students, collaborating with other faculty in and outside the department, and being involved in service to the university and the profession.
•Maintaining a strong sponsored research program, supervising graduate students, collaborating with other faculty in and outside the department, and being involved in service to the university and the profession.

This position will be filled at the Assistant, Associate, or Full professor faculty level in the Department of Neurosurgery. The ranking for this position is commensurate with education and experience.

Commensurate With Experience

Ph.D., M.D., or M.D./Ph.D

•Ph.D. or M.D. in Biomedical Sciences or computer science or a related biomedical or quantitative field.
•Proficiency in applying machine learning and AI algorithms to neurological diseases is required.
•Outstanding record of research accomplishments, a strong interest in graduate education, and a commitment to professional service.

For consideration, please complete an application and include a cover letter, resume and the names and email addresses of three to five references. 

The University of Florida is committed to non-discrimination with respect to race, creed, color, religion, age, disability, sex, sexual orientation, gender identity and expression, marital status, national origin, political opinions or affiliations, genetic information and veteran status in all aspects of employment including recruitment, hiring, promotions, transfers, discipline, terminations, wage and salary administration, benefits, and training. 

Application must be submitted by 11:55 p.m. (ET) of the posting end date.