The Virginia Tech Transportation Institute (VTTI) seeks qualified ambitious engineers with aptitude for solving complex problems through application of advanced research and development techniques. Ideal candidate is an experienced engineer capable of working independently and with multidisciplinary teams to improve transportation safety through cutting-edge research. Research projects range from small test-track experiments using a single next-generation vehicle to large naturalistic studies involving thousands of vehicles on live roadways. The research often features data acquisition systems to unobtrusively collect various sensor elements with the aim of characterizing the roadway, vehicle, and driver performance. These measures are analyzed to address specific research questions that tend to focus on the characterization of existing transportation problems (e.g. crash causation) and/or the performance/development of advanced vehicle systems (e.g. autonomous crash avoidance technology). This position is expected to focus predominantly on research and development relating to connected vehicle systems, collision warning/avoidance systems, light vehicle safety, heavy vehicle safety, and motorcycle safety. The successful applicant will perform work involving conventional engineering practices but may include a variety of complex features such as working with fluctuating requirements, cycles of field and/or office work, and complex data manipulation and analyses methods. Employee will contribute to research conceptualization, proposal development, research execution, resource acquisition, logistics, and documentation. The applicant will be expected to be comfortable working with electrical and mechanical systems. Employee will apply advanced data acquisition tools and techniques to obtain robust research data to address critical transportation knowledge gaps. These data will be used by the engineer to perform data analysis and develop documentation based on direction provided by team members and the Primary Investigator. Experience with vehicle systems, signal processing, and data analysis tools is preferred. The applicant must be interested in improving transportation safety and be willing to work on multiple projects in a fast paced research environment. Assignments include: -Travel to research sites (requirement fluctuates but will generally be < 15%) -Research and assist in the composition of literature reviews, -Review and critique reports and research plans -Interface with engineers, designers, and testing lab personnel to process data from vehicle sensors -Analyze data -Write research reports -Present research findings Directions given and received: Receive instructions on project objectives, feedback on proposed research plans, and project logistics from principal investigators and project managers. May supervise or coordinate the work of graduate research assistants, students, technicians, and others who assist in specific assignments.
- Master's degree in Engineering (candidates with a lesser degree and significant experience in lieu of master's degree may be considered). -Strong writing and organizational skills -Solid understanding of engineering principles needed to analyze, verify, and interpret work. -Strong background in data processing and analysis -Significant CAD design experience -Significant programming experience, Matlab programming experience is preferred -The willingness to work in a fast-paced flexible research environment
Preference given for transportation experience.