The Research Associate/Statistician, in conjunction with principal investigators, will lead the analysis, documentation, and interpretation of research results across all studies in the Division of Data Analytics. The candidate will also support analysis efforts across other research divisions within VTTI. This role will involve both traditional statistical analysis and the development of advanced machine learning models to address a broad range of transportation issues, including but not limited to traffic safety, automated driving system, advanced driver assistant systems, and human factor.
Analysis tasks will include identifying relevant driving risk factors, designing sampling strategies, performing hypothesis-driven statistical tests, and implementing predictive modeling techniques. The successful candidate will structure and preprocess large, complex datasets—including naturalistic driving data, video, and telematics—develop code for data analysis, and contribute to reproducible research pipelines. Responsibilities also include interpreting model results, evaluating performance metrics, and communicating findings effectively to both technical and non-technical audiences.
The successful applicant will perform work involving conventional statistical analysis as well as modern machine learning approaches, with applications to human factors and transportation safety. This includes managing projects with complex data structures, proposing and implementing novel modeling techniques, and contributing to the development of transformative transportation technologies. The employee is expected to support proposal development, oversee day-to-day project activities (e.g., literature reviews, modeling, research execution, reporting, and presentations), and disseminate research findings through technical reports, conference presentations, and peer-reviewed publications. Some travel may be required to conduct research or present results.
Duties and responsibilities:
Independently lead and contribute to research proposals | Conduct literature reviews with minimal supervision | Develop work plans, protocols, and analysis procedures | Review and refine research plans, models, and reports | Collaborate with subcontractors and interface with sponsors | Collect, clean, and analyze large-scale structured and unstructured data | Build and validate statistical and machine learning models | Interpret results and draw data-driven conclusions | Write technical reports and contribute to publications | Present findings to internal and external audiences | Manage project tasks and timelines independently | Travel as needed
