Postdoctoral Associate

Postdoctoral Associate – Metabolism & Computational Neuroscience The Montague, DiFeliceantonio, and Howe Laboratories at the Fralin Biomedical Research Institute at Virginia Tech invite a motivated, creative Postdoctoral Associate to work on projects probing the intersection of metabolism and computational neuroscience. The role involves integrating metabolic signals with canonical computational frameworks to further understand brain function, and will require work with human participants using neural and physiological monitoring techniques. Job Duties Research Conceptualization – Coordinating with and assisting the PI in the design of experiments and grant proposal methodology, and methods for analyzing results. Research Publications – Preparing text, tables, and graphical information for dissemination in peer‑reviewed publications, presentations at professional conferences, or book chapters. Data Analysis – Analyzing findings from research methods and transforming results into formats appropriate for dissemination or further analysis. Project Management – Training and supervising research personnel to organize and conduct study sessions. Required Qualifications PhD in health science, neuroscience, psychology, nutrition, or a related field awarded no more than four years prior to appointment, with a minimum of one year eligibility remaining. Track record of publications and presentations. Experience in mentorship and/or teaching. Ability to wear personal protective equipment and to walk, stand, bend, and stoop for long periods of time. Preferred Qualifications Demonstrated research experience. Demonstrated track record of research excellence as indicated by peer‑reviewed publications and presentations. Overtime Status Exempt: Not eligible for overtime. Appointment Type Restricted. Salary Information Commensurate with experience. Hours per Week 40 or more. Review Date May 15, 2026. Additional Information Successful candidates will be required to have a criminal conviction check. Equal Opportunity Employment Virginia Tech does not discriminate against employees, students, or applicants on the basis of age, color, disability, sex, gender, gender identity, gender expression, genetic information, ethnicity, 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 that of other employees or applicants. #J-18808-Ljbffr