Postdoctoral Associate 130210 Pensacola - Main Campus, Florida, United States Ctr Computational Intelligence(CCI) Hal Marcus College of Science and Engineering Non-Tenure-Track Faculty Faculty Full-time POSITION DETAILS Employment based visa sponsorship will NOT be considered for this position. Position Number: 130210Classification Title: Postdoctoral AssociateWorking Title: Postdoctoral AssociateDepartment: Ctr for
Computational IntelligenceFLSA Status: ExemptSalary Range: $65,000 - $80,000Pay Basis: Annually POSITION OVERVIEW JOB SUMMARY: The successful candidate will conduct cutting-edge research under the mentorship of a Principal Investigator, Dr. Shusen Pu, to support projects under the Center for Computational Intelligence. This position will collaborate on the creation and/or application of computational models and
systems capable of performing complex tasks in strategic research clusters. The specific project focuses on developing interpretable AI and computational modeling frameworks to address fundamental questions in neuroscience. The postdoctoral researcher will integrate neural recordings, dynamical systems models, recurrent neural networks, and modern AI approaches to study cognition, neural dynamics, and motor control.
Working closely with experimental collaborators, the candidate will help connect computational models with empirical data, generate testable predictions, and refine models based on experimental observations. The candidate will also contribute to computational model development, neural data analysis, simulation, reproducible research workflows, manuscript preparation, and external grant development aligned with NSF
and NIH funding opportunities.The position is approved for funding for 2 years, with funding available to extend the appointment to a 3rd year, dependent on having met specified goals and metrics agreed upon by the PI and CCI leadership. Postdocs are required to live locally with the expectation of working on campus, with schedule flexibility coordinated with the PI. Move date is also flexible within reason. MINIMUM
QUALIFICATIONS: The appointee shall have received a doctorate from an accredited institution in a field appropriate to the assigned duties and responsibilities such as. Computational Neuroscience, Neuroscience, Applied Mathematics, Statistics/Biostatistics, Computer Science, Artificial Intelligence, Machine Learning, Data Science/Data Analytics, or a closely related field. Candidates must have a doctoral degree
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