Fellow (Post Doc)

About This Role K-State Olathe invites applications for a Postdoctoral Researcher in Computer and Data Science to contribute to a DOT‑funded research program. The position is a 12‑month term, renewable annually for up to 2 years contingent on funding. The immediate supervisor is Professor Majid Jaberi‑Douraki. The Research Associate/Postdoc will support the development and implementation of a centralized data clearinghouse for the Crash Preventability Determination Program (CPDP) by leveraging the 1DATA platform to integrate crash reports, police citations, inspection data, and emerging visual data sources (e.g., roadway images and video) from the Federal Motor Carrier Safety Administration (FMCSA). This role focuses on transforming disparate data sources—including vision‐based inputs—into a secure, accessible, and user‑friendly repository that enables comprehensive analysis of crash events and related safety factors. Through advanced data integration, management, visualization, and reporting, the Postdoc Associate will enhance the accessibility and usability of complex transportation safety data for state and federal agencies, supporting stakeholders in identifying patterns, trends, and risk factors associated with roadway incidents to inform evidence‑based policies and interventions designed to improve traffic safety and reduce crashes. Worksite Description This position is Hybrid eligible. It is expected to be performed on‑site approximately three (3) days a week. All employees must reside in the United States when they begin working to comply with state law. K‑State is unable to provide remote or hybrid work opportunities for residents of the state of Idaho. What You'll Need to Succeed Minimum Qualifications Doctoral degree. Demonstrated advanced applied expertise in computational and AI/ML techniques, including vision systems and computer vision methods. Preferred Qualifications Demonstrated expertise in data integration, database development, and large‑scale data management. Strong programming skills (Python, R, SQL, TensorFlow, PyTorch, OpenCV, or similar) with experience building data pipelines and analytical workflows. Experience working with structured and semi‑structured datasets (e.g., crash reports, inspection data, regulatory data). Experience working with image and video data, including preprocessing, annotation, and analysis. Familiarity with computer vision techniques (e.g., object detection, scene understanding, or video analytics). Understanding of multimodal data integration (combining visual data with structured datasets). Proficiency in data visualization and reporting tools. Experience developing secure, user‑accessible data systems or web‑based data portals. Knowledge of data security, privacy and governance best practices. Experience applying statistical analysis or data mining techniques to identify patterns and risk factors. Record of peer‑reviewed publications or technical reporting. Ability to work independently and collaboratively in a multidisciplinary research environment. Strong written and oral communication skills. Additional Role Information Applicants must be currently authorized to work in the United States at the time of employment. Position will be based at K‑State Olathe, with occasional travel for collaboration and dissemination activities. Sponsorship Eligibility Candidates must be legally authorized to work in the U.S. on an ongoing basis without sponsorship. Application Window Applications close on: June 10, 2026 Anticipated Hiring Pay Range $60,000 - $80,000 per year #J-18808-Ljbffr