Postdoctoral Associate

Postdoctoral Associate The Halassa lab invites applications for a Postdoctoral Associate position at the Fralin Biomedical Research Institute (FBRI) at Virginia Tech Carilion (VTC). The lab integrates state-of-the-art neural recording technologies, complex cognitive tasks, and computational models to investigate the neural basis of flexible cognition. From basic functional circuit dissection in animals to human clinical studies, we ask how network disruptions cause cognitive deficits in neuropsychiatric disorders like schizophrenia. In addition to making fundamental discoveries (e.g. how thalamocortical interactions implement attentional control and task switching), we aim to understand these processes well enough to develop targeted, precision treatments for patients. The successful candidate will lead projects investigating these brain functions in rodent and tree shrew (Tupaia Belangeri) models, receiving direct mentorship from the Principal Investigator alongside guidance from senior research personnel. Key Responsibilities Experimental Design: Develop and optimize behavioral and physiological paradigms targeting brain networks. Data Collection: Conduct in vivo neurophysiological recordings and behavioral assays in mice and tree shrews. Data Analysis: Process large-scale neural datasets, applying computational tools to model behavioral and neural data. Dissemination: Write high-quality manuscripts and present findings at national and international conferences. Grantsmanship: Write fellowship applications and assist with the preparation of grant proposals. Required Qualifications PhD in Neuroscience, Biomedical Engineering, Psychology, or a closely related quantitative field. PhD must be awarded no more than four years prior to the effective date of appointment with a minimum of one year eligibility remaining. Prior experience working with animal models (rodents or other mammalian models). Evidence of scientific productivity through peer-reviewed publications or preprints. Must wear protective/safety protection with the ability to stand, stoop, bend, and walk for long periods. Preferred Qualifications Strong analytical and computational background. Proficiency in spike train analysis and neural decoding methods. Advanced programming skills in MATLAB, Python, or R. Experience with surgical procedures and in vivo recording techniques (e.g., electrophysiology or calcium imaging). Overtime Status Exempt: Not eligible for overtime Appointment Type Restricted Salary Information $63,480-$65,000 Hours per week 40+ Review Date 7/13/26 Additional Information The successful candidate will be required to have a criminal conviction check. About Virginia Tech Dedicated to its motto, Ut Prosim (That I May Serve), Virginia Tech pushes the boundaries of knowledge by taking a hands-on, transdisciplinary approach to preparing scholars to be leaders and problem-solvers. A comprehensive land-grant institution that enhances the quality of life in Virginia and throughout the world, Virginia Tech is an inclusive community dedicated to knowledge, discovery, and creativity. The university offers more than 280 majors to a diverse enrollment of more than 36,000 undergraduate, graduate, and professional students in eight undergraduate colleges, a school of medicine, a veterinary medicine college, Graduate School, and Honors College. The university has a significant presence across Virginia, including Blacksburg, the greater Washington, D.C. area, the Health Sciences and Technology Campus in Roanoke, sites in Newport News and Richmond, and numerous Extension offices and research institutes. A leading global research institution, Virginia Tech conducts more than $650 million in research annually. Virginia Tech endorses and encourages participation in professional development opportunities and university shared governance. These valuable contributions to university shared governance provide important representation and perspective, along with opportunities for unique and impactful professional development. Virginia Tech does not discriminate against employees, students, or applicants on the basis of age, color, disability, sex (including pregnancy), gender, gender identity, gender expression, genetic information, ethnicity or national origin, political affiliation, race, religion, sexual orientation, or military status, or otherwise discriminate against employees or applicants who inquire about, discuss, or disclose their compensation or the compensation of other employees or applicants, or on any other basis protected by law. Virginia Department of Human Resource Management