NIH-funded postdoctoral position is available in the group of Dr. Yuri Dabaghian at McGovern Medical School of the University of Texas, Houston. We are looking for scientists with research interests in neuroscience and mathematical physics, network dynamics, and topological data analyses. Some projects are based on studying electrophysiological data, some are theoretically motivated. We are specifically interested in circuit mechanisms of learning and memory and their involvement in neurological disorders, notably Alzheimer's Disease. Successful candidate will develop data-driven hippocampal neuronal network models, develop and creatively apply novel tools for the brain wave (EEG) analyses, Topological Data Analysis of spiking data, etc. Strong background in quantitative disciplines (a PhD and ongoing interest in computational neuroscience, physics or mathematics), plus willingness to do programming and to analyze experimental data is required. All appointments are renewable for at least four years given satisfactory performance. The salary is competitive. The postdoc will be integrated into the large, vibrant neuroscience community of the Texas Medical Center, participate in collaborations with groups at Baylor College of Medicine, Rice University, University of Houston. To apply, please send application materials including a detailed CV, a brief statement of research interests, and contact information of 3 references to Dr. Yuri Dabaghian at [Yuri.A.Dabaghian [at] uth.tmc.edu). The position is available immediately, until filled. For Additional information and informal inquiries, please contact Dr. Dabaghian. We strive for a diverse and inclusive environment, and encourage applications from members of any identity.