Postdoctoral Opening

The Inan Research Lab at Georgia Tech is seeking an outstanding postdoctoral researcher in the general field of biomedical / electrical engineering. The candidate should have received a PhD or equivalent degree in a relevant field (e.g., electrical and computer engineering), and should have a track record demonstrating a potential for strong career development and growth as an independent researcher as evident through peer-reviewed conference and journal papers. The postdoctoral researcher will be working on an exciting, collaborative project between the Inan Research Lab at Georgia Tech and the group of Dr. J. Douglas Bremner at the Atlanta Veterans Affairs Medical Center and Emory University Department of Psychiatry. The researcher will be provided with an exceptional ecosystem at Georgia Tech with a team of high caliber, hardworking, dedicated doctoral and postdoctoral researchers, and will receive mentorship and support from Dr. Inan and Dr. Bremner. The researcher will be expected to assist in data collections at the Atlanta VA, and will be working together with the broader team to develop algorithms to analyze the collected data, collaborate with clinicians to understand the clinical relevance / significance of the findings, and to lead the writing of peer-reviewed journal and conference publications. Travel funds will be available for the researcher to travel to conferences to present the results from the project.

Candidates for this position must have the following qualifications:

  • Completed (or nearly completed) doctoral training, including evidence of publication in top tier (e.g. IEEE) journals and conferences.
  • Proficiency with signal processing algorithms applied to physiological and / or biological time series signals.
  • Proficiency with Matlab and Python.
  • Knowledge of conventional machine learning algorithms (e.g., random forest, SVM, etc.).
  • Excellent communication skills, including written and oral communication.

The following qualifications are preferred but not required:

  • Proficiency with deep learning algorithms and their implementation, including convolutional neural networks, transformer models, etc.
  • Collaboration with clinicians in prior work including data collection in clinical settings.
  • US Citizen preferred, but not required.

If interested, please email your CV, brief research statement (1 page), and names of three references with their contact information to Prof. Omer Inan at