The NeuroAI group led by Dr.Siwei Wang in the Department of Neurobiology and Behavior at Stony Brook University is seeking a highly motivated Postdoctoral Research Fellow for an interdisciplinary project at the intersection of machine learning, signal processing, and neuroscience. The successful candidate will apply advanced machine learning, wavelet analysis, information theory, and topological data analysis techniques to uncover hidden neurobiological structure in complex neural and behavioral time-series data. We welcome candidates who are motivated to answer the following questions: 1) How can we discover and quantify semantic content in high-dimensional neural time series without ground truth? 2) What do these patterns reveal about fundamental principles of brain function and behavior? 3) How can the theory/method developed for these complex time series translate to insights in mathematical foundations for machine learning?
This project tackles real-world neuroscience questions about how brain activity and behavior are organized. We are looking for a technically strong researcher who is excited to bridge cutting-edge computational methods with fundamental questions in neurobiology.
Dr.Siwei Wang is an NITMB external affiliate member. The postdoc in her group will join NITMB community through co-mentorship by leading visual neuroscientist Dr.Gregory Schwartz at Northwestern University or system Neuroscientist Dr. Jason Maclean at University of Chicago. This dual mentorship ensures that the computational advances are tightly linked to cutting-edge experimental questions and data. The postdoctoral fellow will regularly engage with both mentors’ research groups, benefiting from their domain expertise and resources. The postdoctoral fellow will also have the opportunity to participate and contribute to the NITMB community through workshops and research seminars. This NITMB enabled co-mentorship is designed to enhance the fellow’s visibility in both the computational and experimental neuroscience communities and to foster innovative, well-rounded skill development.