Postdoctoral Fellow

The Section on Translational Biophotonics at the Eunice Kennedy Shriver National Institute of Child Health and Human Development, led by Dr. Amir Gandjbakhche, is seeking a highly motivated postdoctoral fellow with strong expertise in data science, biomedical engineering, and/or computer science to lead computational and analytical portions of currently ongoing neuroimaging studies. Our lab focuses on developing innovative optical technologies for real-world clinical applications. Specifically, our research centers on:

• Wearable optical devices for pregnancy monitoring
• Optical systems for sleep apnea detection and monitoring
• Noninvasive optical methods to investigate the neural mechanisms underlying social-cognitive processing in neurotypical children and adults, as well as individuals with neurodevelopmental disorders such as Autism Spectrum Disorder (ASD) and Disruptive Mood Dysregulation Disorder (DMDD)

This Postdoctoral Research Fellow position emphasizes:

• Advanced signal processing and analysis of fNIRS and EEG data
• Development of computational pipelines for multimodal neuroimaging
• Statistical modeling and machine learning approaches for neural data
• Multivariate and time-series analysis of cognitive task paradigms
• Data integration across behavioral, physiological, and questionnaire measures

Prospective Post-Doctoral fellows will design and implement reproducible data-processing workflows, optimize artifact rejection and preprocessing algorithms, conduct advanced statistical analyses, and develop novel analytic approaches to characterize neural dynamics underlying social cognition. Position Responsibilities include:

• Designing and maintaining scalable analysis pipelines (Python/MATLAB/R)
• Implementing signal processing and feature extraction methods
• Applying statistical modeling and machine learning techniques
• Managing and curating large multimodal datasets
• Supervising postbaccalaureate research assistants in data acquisition and preprocessing
• Leading manuscript preparation and scientific dissemination

Candidates should be comfortable working both independently on computational problems and collaborating closely with neuroscientists, clinicians, and behavioral scientists. This position is available immediately, with a flexible start date between now and August 2026. More information about this position can be found here:

https://science.nichd.nih.gov/confluence/display/safb/Home

This position requires:

• A Ph.D. in biomedical engineering, computer science, data science, electrical engineering or a related field awarded by position start date.

Preferably, Candidates will possess:

• A Strong background in signal processing, time-series analysis, or computational modeling • Experience analyzing EEG and/or fNIRS data
• Proficiency in Python and/or MATLAB (experience with MNE, FieldTrip, EEGLAB, or similar toolboxes preferred)
• Experience with statistical modeling in R, Python, or SAS
• Familiarity with machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch)
• Experience with multimodal data integration
• Knowledge of experimental design and stimulus presentation software (e.g., PsychoPy, E-Prime)
• Experience mentoring students or managing collaborative research projects
• Experience working with neurodevelopmental populations