This position is ideal for candidates who enjoy working across theory, experiments, and systems-level thinking, and who want their work to shape how humans interact with intelligent machines responsibly.

What You’ll Work On

You will contribute to the development and evaluation of ethics-centered adaptive brain/muscle–machine interface technologies using physiological signals (primarily sEMG). The work spans:

• Close collaboration with researchers in neuroscience, engineering, and ethics
• Human-in-the-loop brain/muscle-machine experimentation focused on learning pedagogy for adaptive neural systems
• Design and implementation of gamified environments for incorporating user feedback into system design
• Research design around the ethics of privacy and sense-of-agency in system design
• Longitudinal analysis across time and conditions
• Algorithm design and modeling

The role offers significant intellectual freedom and opportunities to shape the direction of the research. We are looking for candidates with strong expertise in the following areas:

Primary Skills & Background (required)

Core Technical Skills

• Machine learning for time-series or latent-variable modelsg
• Signal processing of physiological data (e.g., EMG, EEG, biosignals)
• Statistical modeling and dimensionality reduction
• Python-based scientific computing (NumPy, SciPy, PyTorch/JAX, etc.)

• Privacy and/or sense-of-agency ethical analysis
• Learning pedagogical analysis and design
• Control theory or reinforcement learning
• Game-based or interactive training paradigms
• Experience collaborating across disciplines
• Research in ethics, agency, or privacy in AI-enabled systems

What We Offer

• A high-impact, forward-looking project with real-world relevance
• Strong publication and funding support
• Collaborative interdisciplinary mentorship tailored to academic or industry career goals
• Opportunities to lead sub-projects and mentor students
• A collaborative, intellectually curious research environment
• Intentional focus on intersections between ethical analysis and technical expertise

Eligibility

• PhD in Electrical Engineering, Biomedical Engineering, Computer Science, Neuroscience, Robotics, AI Ethics or a related field by the start date
• Strong publication record and clear research trajectory
• Excellent communication skills and ability to work independently
• Be a U.S. citizen or permanent resident

How to Apply

Please submit an email with the title “Postdoc Application for Meta-funded Long-Term Human-Machine Interfacing” to Mohsen Rakhshan (mohsen[DOT]rakhshan[AT]ucf[DOT]edu) and Jonathan Beever (Jonathan[DOT]Beever[AT]ucf[DOT]edu) with the following documents:

1. CV
2. Brief statement of research interests (1–2 pages)
3. At least 2 of your best published papers in the relevant topics in which you are the first author
4. Contact information for 2–3 references

Review of applications will begin immediately and continue until the position is filled.