Postdoctoral Associate in the Auditory Cognitive Neuroscience Research Laboratory

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Budget

Title:

Postdoctoral Associate (SL‑1)

Salary: $60,000 - $64,000

The Auditory Cognitive Neuroscience Research Laboratory at Binghamton University (PI: Sung‑Joo Lim; ) is seeking a full‑time postdoctoral researcher. Our lab studies how humans perceive and learn speech sounds, aiming to understand the brain and cognitive mechanisms that support speech communication and learning. We use a broad range of empirical methods, including behavioral experiments, multimodal neuroimaging (EEG/MRI), noninvasive brain stimulation (tDCS/tACS), and pupillometry.

The postdoctoral fellow will work on multimodal neuroimaging projects investigating the neural bases of sound/speech learning. The primary aims are to identify intrinsic and extrinsic factors that promote learning, and to characterize the individual differences in learning‑related changes in brain networks. The core methodologies will involve functional and structural neuroimaging (fMRI, DWI), electrophysiology (EEG), non‑invasive brain stimulation, and cognitive‑behavioral testing to explore the neural mechanisms underlying auditory learning and neuroplasticity.

The ideal candidate will be able to work independently in a self‑organized manner, while also enjoy working collaboratively with our team. They will have an interest and skill in scientific communication and writing, and share research interests in research methods as well as in topics of human cognition, speech communication, and language.

• Experiment conception, development, and implementation
• Data analysis and management
• Developing, modifying, and executing analytical protocols
• Preparing and disseminating results through peer-reviewed scientific journals and presentations at major national and international meetings
• Mentoring student researchers (graduate and undergraduate) and junior staff

• A Ph.D. in psychology, neuroscience, cognitive science, speech/hearing sciences, linguistics, computer science, biomedical engineering or related field, by August 31, 2026
• Experience in advanced neuroimaging (fMRI/MRI/DWI) and/or electrophysiology (EEG/MEG) and computational analyses (i.e., machine learning methods, computational modeling)
• Research experience in human cognition
• Demonstrated strong quantitative skills and experience with scientific computing, including computational methods (e.g., Python, MATLAB, Linux) and neuroimaging/statistical methods (e.g., AFNI, FSL, SPM, Free surfer, R)
• Excellent written and verbal communication skills

• Experience in topics related to speech communication, auditory processing, or language-related…