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Job ID: 225036

EEG BCI Postdoctoral Research Associate
Carnegie Mellon University

Date Posted Nov. 3, 2023
Title EEG BCI Postdoctoral Research Associate
University Carnegie Mellon University
Pittsburgh, PA, United States
Department Biomedical Engineering
Application Deadline Open till filled
Position Start Date By Fall 2024
  • Post-Doc
  • Robotics
    Human Factors Engineering/Ergonomics
    Engineering Physics
    Electrical and/or Electronics
    Computer Science
    Bioengineering (all Bio-related fields)
    Engineering - Other

The He Laboratory ( in the Department of Biomedical Engineering, College of Engineering at Carnegie Mellon University (CMU) is seeking highly motivated candidates to fill a postdoctoral research position in the field of EEG-based brain-computer interface (BCI). You will have outstanding opportunities to be trained and collaborate with internationally renowned investigators in BCI and ML at CMU.

We are currently working on integrated multidisciplinary/interdisciplinary research projects aiming at developing novel noninvasive BCI technology that can reliably decode human intention for controlling a virtual or physical object (such as flying a drone or controlling a robotic arm). We are working on motor imagery, overt spatial attention, and VEP paradigms and plan to expand our approaches. Our goal is to further advance BCI technology using noninvasive recordings leveraging the power of AI/ML. You will be able to work in a highly collaborative environment on brain decoding, AI/DL algorithms, and human experimentation. You will be expected to conduct original research and publish high impact publications. You will also have opportunities to mentor talented graduate students carrying out experiments.

Qualifications: PhD in Biomedical Engineering, Electrical Engineering, Computer Science, Neuroscience or a related field. Prior experience in human EEG BCI is highly desirable. Prior experience in EEG signal processing and decoding algorithms is desirable. Prior experience in motor imagery human experimentation or deep learning algorithms for EEG analysis is desirable.

Outstanding candidates with strong publication records in relevant journals and outstanding writing and oral communication skills are encouraged to apply. E-mail pdf CV to Prof. Bin He at

CMU is a premier institution in science and engineering education and research. CMU’s College of Engineering is regarded as one of the best engineering schools in USA. Pittsburgh is a vibrant, mid-sized city that has the feel of a small town. Its approachability can be seen on the faces of its energetic, hard-working and proud people. A city built on innovation, Pittsburgh continues to push the envelope with major contributions in technology, education, medicine and beyond. In 2021, WalletHub named Greater Pittsburgh its sixth-best metro area for STEM professionals.


  • Carnegie Mellon is an equal opportunity employer and is committed to increasing the diversity of its community on a range of intellectual and cultural dimensions.

Please reference in your cover letter when
applying for or inquiring about this job announcement.

Contact Information

  • Bin He
    Department of Biomedical Engineering
    Carnegie Mellon University
    5000 Forbes Avenue
    Pittsburgh, PA 15213


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