The Virginia Tech Transportation Institute (VTTI) seeks qualified, ambitious human factors engineers or candidates with strong background in psychology and engineering to assess the impact of innovative transportation technologies on potential users. Ideal candidate is an experienced engineer capable of independently running transportation research projects and working 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. crash warning and autonomous crash avoidance technologies). Questionnaires, focus groups, and surveys may also be administered, providing valuable subjective data concerning drivers' perception of the technologies tested in these experiments. 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 as it pertains to user interaction with these systems. VTTI provides opportunities for professional advancement and a pay for performance structure. The successful applicant will perform work involving conventional human factors engineering practices but may include a variety of complex features such as working with fluctuating requirements, cycles of field and/or office work, and developing and implementing novel approaches to evaluating transformative transportation technologies. Employee will contribute to conceptualization of research and proposal development with principal investigators. With assistance, the successful applicant will manage the day-to-day operations of research projects including: reviews of relevant literature, research design, research execution, data analysis, documentation, and dissemination. Experience with human factors research in transportation or related fields and expertise in statistical analyses is preferred. Proficiency with data collection and manipulation with working knowledge of analysis software packages is desired. The applicant must be interested in improving transportation safety and be willing to work on multiple projects in a fast paced research environment. Duties and responsibilities: Assignments include: -Aid in the development of proposals -Research and assist in the composition of literature reviews -Conceptualize and write work plans, protocols, and procedures -Review and critique reports and research plans -Coordinate and collaborate with subcontractors and interface with stakeholders -Manipulate and analyze data -Interpret results and develop robust conclusions -Write research reports -Present research findings -Travel to research sites (requirement fluctuates) 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. Must be able to work effectively independently as well as within multidisciplinary project teams as appropriate.
Masters degree in Industrial and Systems Engineering with a Human Factors specialization or equivalent. Candidates with a bachelor's degree and considerable relevant experience will also be considered. -Experience in transportation or related field is desired -Thorough understanding of experimental design and methods -Technical understanding of electrical and mechanical systems -Strong writing, communication, and organizational skills
- Preference given for a strong statistical background -Proficiency with programming languages including Matlab and SQL is desired
Virginia Jobs - 21 months ago