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Mohsen Rakhshan

Assistant Professor

University of Central Florida

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United States

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Research Interests

Neuropsychology

10%

Human-computer Interaction

10%

Medical Science

10%

Philosophy

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Brain-computer Interface

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Electrical Engineering

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Positions1

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Mohsen Rakhshan

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University of Central Florida

Postdoctoral Research Position in Neural Engineering, Human–Machine Interaction, and Neuroethics

The University of Central Florida, in collaboration with the Laboratory for Interaction of Machine and Brain (LIMB) and the Center of Ethics, is seeking a highly motivated Postdoctoral Researcher for an interdisciplinary project funded by Meta Platforms. The research focuses on neural engineering, human–machine interaction, neuroethics, and privacy, with an emphasis on next-generation biosignal-driven interfaces for long-term use. The project aims to develop adaptable, robust, and human-centered systems, integrating ethical and privacy considerations into the design and deployment of intelligent machines. The successful candidate will work closely with Mohsen Rakhshan (Assistant Professor, UCF ECE) and Jonathan Beever (Center of Ethics) in a collaborative environment that bridges neuroscience, engineering, and ethics. The research will involve machine-in-the-loop brain/muscle-machine experimentation, learning pedagogy for adaptive neural systems, and the design and implementation of gamified environments for user feedback. Candidates will also engage in research on the ethics of privacy and sense-of-agency in system design, as well as longitudinal analysis of user interaction and algorithm development. Applicants should have a PhD in neural engineering, biomedical engineering, computer science, neuroscience, or a related field. Required skills include machine learning for time-series or latent-variable models, signal processing of physiological data (EMG, EEG, biosignals), statistical modeling, dimensionality reduction, and Python-based scientific computing. Experience in privacy and/or sense-of-agency ethical analysis, learning pedagogical analysis, control theory or reinforcement learning, and interdisciplinary collaboration is essential. Secondary skills such as designing and running human-subject experiments, working with wearable sensors, adaptive or online learning methods, and human–machine interfaces or prosthetic control are highly valued. The position is open to U.S. citizens, permanent residents, or those with approved OPT for 2 years. The project offers strong publication and funding support, collaborative mentorship, and opportunities to lead sub-projects and mentor students. The start date is April 1, 2026, and applications will be reviewed on a rolling basis until the position is filled. To apply, candidates should email Mohsen Rakhshan and Jonathan Beever with the subject 'Postdoc Application for Meta-funded Long-Term Human-Machine Interfacing,' including a CV, a 1–2 page statement of research interests, at least two first-author published papers, and contact information for 2–3 references.

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