Passive EEG‑BCI for Adaptive Human–Machine Teams

ORAU; Aberdeen (MD); On-site; USD 60,000 - 80,000; Full time

Job summary

ORAU in Aberdeen, Maryland is looking for a postdoctoral/research fellow skilled in EEG-based brain-computer interfaces (BCIs). The role involves developing systems for optimizing human-machine interaction by estimating cognitive and physical states using biosignals. You will collaborate within a multidisciplinary team and design human-subject experiments.

Ideal candidates must hold an MS/PhD in relevant fields, have programming expertise in Python, Matlab, or R, and exhibit strong communication skills. Join ORAU to drive research innovations in adaptive systems.

Qualifications

• Expertise in machine learning and/or online BCI.
• Advanced programming skills in Python, Matlab, or R.
• Strong experience in algorithmic design and mathematical models.

Responsibilities

• Develop and implement EEG‑based passive BCIs for human‑machine optimization.
• Leverage EEG to estimate user cognitive and physical states.
• Collaborate with a multidisciplinary team to integrate BCIs.

Skills

Machine learning

Online BCI

Signal processing

Python

Matlab

R

Education

MS/PhD in neuroscience, biomedical engineering, or computer science

Job description

ORAU in Aberdeen, Maryland is looking for a postdoctoral/research fellow skilled in EEG-based brain-computer interfaces (BCIs). The role involves developing systems for optimizing human-machine interaction by estimating cognitive and physical states using biosignals. You will collaborate within a multidisciplinary team and design human-subject experiments.

Ideal candidates must hold an MS/PhD in relevant fields, have programming expertise in Python, Matlab, or R, and exhibit strong communication skills. Join ORAU to drive research innovations in adaptive systems.