马里兰大学 College Park PhD Openings: 计算脑科学/NeuroAI/Precision Brain Health

INSPIRE Lab at the University of Maryland, College Park is recruiting Ph.D. students interested in computational brain science, NeuroAI, multimodal neuroimaging, and precision brain health.
Our research develops computational, statistical, and AI approaches to understand and predict brain dynamics across individuals, disease states, and interventions. We work with multimodal neural and neuroimaging data, including fMRI, EEG, intracranial EEG, electrophysiology, and optical imaging, from healthy individuals, patients, and animal models. Current Ph.D. positions are open in the following areas:

• Computational Brain Dynamics and NeuroAI — modeling brain states, functional and effective connectivity, neural dynamics, and naturalistic brain responses using machine learning, dynamical systems, information theory, graphical models, and network science.
• Translational Computational Neuroscience and Precision Brain Health — developing individualized computational biomarkers from multimodal brain data to characterize disease-related brain states, predict behavioral and clinical outcomes, and model individual differences in treatment response.
• Multimodal and Cross-Scale Brain Modeling — integrating fMRI, EEG, iEEG, electrophysiology, optical imaging, and other neural measurements to study brain dynamics across spatial, temporal, and biological scales.

We welcome applicants with strong quantitative and computational backgrounds in Bioengineering/Biomedical Engineering, Electrical and Computer Engineering, Computer Science, Applied Mathematics, Statistics, Physics, Neuroscience, or related fields. A strong academic record is a major consideration. Applicants are generally expected to have a minimum cumulative GPA of 3.75/4.0, although academic performance will be evaluated in the context of the institution, grading system, major, and class ranking. For applicants from China, top academic standing at leading 985/211 universities is particularly desirable. Strong programming skills in Python and/or MATLAB are required. Prior research experience in machine learning, signal processing, neuroimaging, neural data analysis, computational neuroscience, or related quantitative fields is highly desirable. Evidence of research independence is also strongly valued—for example, first-author work submitted to or published in top conferences or well-regarded peer-reviewed journals, or other research demonstrating substantial intellectual ownership and leadership.

Qualified applicants should email Dr. Nan Xu at nanxu@umd.edu with their CV and transcript. Please include your major/class ranking on your CV, if available, and use “Prospective PhD Applicant” as the email subject line.

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