Publisher
source

Mohsen Rakhshan

2 weeks ago

Postdoctoral Research Position in Neural Engineering, Human–Machine Interaction, and Neuroethics University of Central Florida in United States

Degree Level

Postdoc

Field of study

Computer Science

Funding

The position is funded by Meta Platforms and offers strong publication and funding support, collaborative interdisciplinary mentorship, and opportunities to lead sub-projects and mentor students. No specific stipend or salary amount is mentioned.

Deadline

Apr 1, 2026

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Country

United States

University

University of Central Florida

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Keywords

Computer Science
Biomedical Engineering
Signal Processing
Electrical Engineering
Philosophy
Data Privacy
Human-computer Interaction
Neuropsychology
Medical Science
Engineering Ethics
Robotics
Neuroengineering
Brain-computer Interface
Neuroethology
Machine learning

About this position

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.

Funding details

The position is funded by Meta Platforms and offers strong publication and funding support, collaborative interdisciplinary mentorship, and opportunities to lead sub-projects and mentor students. No specific stipend or salary amount is mentioned.

What's required

Applicants must have a PhD in a relevant field such as neural engineering, biomedical engineering, computer science, neuroscience, or related areas. Required skills include machine learning for time-series or latent-variable models, signal processing of physiological data (e.g., EMG, EEG, biosignals), statistical modeling, dimensionality reduction, and Python-based scientific computing. Candidates should have experience in privacy and/or sense-of-agency ethical analysis, learning pedagogical analysis and design, control theory or reinforcement learning, and interdisciplinary collaboration. Secondary skills include designing and running human-subject experiments, working with wearable sensors or real-time data streams, adaptive or online learning methods, and human–machine interfaces or prosthetic control. Eligibility is limited to U.S. citizens, permanent residents, or those with approved OPT for 2 years.

How to apply

Submit an email with the subject 'Postdoc Application for Meta-funded Long-Term Human-Machine Interfacing' to Mohsen Rakhshan and Jonathan Beever. Include your CV, a 1–2 page statement of research interests, at least 2 first-author published papers, and contact information for 2–3 references.

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