Six positions (3 Postdoc, 3 Ph.D. students) are available at the University of Florida to develop next generation brain-machine Interfaces (BMI).


This project seeks to develop a transformative experimental and computational approach capable of translating a user’s intention into commands to control machines, facilitating the incorporation of artificial neural substrates into biological representation, and adapting to the context of a rich real-time environment for dexterous tasks. The overall project involves work with non-human primates and includes principal investigators with expertise in computational neuroscience, neurophysiology, neural engineering, advanced computing architectures, and brain-machine interfaces. The positions are open immediately.
Expertise: Expertise is needed in 3 areas (applicant does not require all). This project is highly multidisciplinary and the applicant is expected to interact with investigators in the Colleges of Medicine and Engineering at UF as well as collaborators at the State University of New York and University of California Berkeley. Candidates are expected to also have a strong quantitative background.
Closed-Loop In vivo BMI Experimentation – chronic multielectrode neurophysiology, motor and reward system coding, reinforcement learning in biological and artificial systems, animal behavioral experience Computational Modeling – Sensory coding, spiking neurons, adaptive signal processing, advanced Computing – Software interfaces, virtual machines, high-performance parallel computing.
Applicants should be highly motivated, critical thinkers who excel in fast-paced research environments with critical deliverable deadlines.
The University of Florida has an outstanding research program in Brain-Machine Interfaces and will provide a unique experience for candidates. This position offers many opportunities to interact with research and clinical faculty in the College of Medicine as well as faculty in Biomedical Engineering and Electrical and Computer Engineering. Candidates will gain experience in neurotechnology, systems neurophysiology, computational neuroscience and its application to advanced therapies for disabled individuals.
Please submit inquiries to:
Justin C. Sanchez, Ph.D.
jcs77(at)ufl(dot)edu
Neuroprosthetics Research Group
http://nrg.mbi.ufl.edu

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