Make a difference while working with the latest technologies in a field that affects the safety and quality of lives of almost everyone. Transportation is undergoing an incredible transformation as automated and safety-related technologies are introduced across one of the largest industry sectors in the U.S. You can play a part in saving lives by preventing heavy vehicle crashes and improving livelihoods by evaluating the implementation of automated technologies in heavy trucks. At the Virginia Tech Transportation Institute (VTTI), a world-leading research enterprise, we are working with government agencies, transportation and safety organizations, vehicle manufacturers and their suppliers, and others to overcome these challenges and improve transportation safety and performance on the world's roads. (https://www.youtube.com/watch?v=Nj4VWviw5JA). The Division of Freight, Transit, and Heavy Vehicle Safety (DHVY), a research-focused group within VTTI, seeks qualified, experienced and ambitious engineering (industrial), human factors or traffic safety professionals with a strong background in psychology, safety, and/or vehicle technology. This position seeks candidates that demonstrate significant project leadership and management experience in transportation research or related fields. They have an aptitude for solving complex problems through application of advanced research and development techniques and conducting research and publishing results in an ethical manner. Research projects range from driving simulator and test track experiments using a single vehicle to large-scale naturalistic driving studies that involve collecting data from hundreds of vehicles on public roadways. Research topics include, but are not limited to, driver behavior (distraction and fatigue), automated vehicle systems, collision warning/avoidance systems, and cybersecurity. The candidate must be interested in working with heavy vehicles, including commercial trucks, transit buses, and motorcoaches. VTTI provides opportunities for professional advancement and a pay for performance structure.