Fellow; Post Doc

Position: Fellow (Post Doc)
About This Role

K-State Olathe ((Use the "Apply for this Job" box below).) invites applications for a Postdoctoral Researcher in Computer and Data Science to contribute to an DOT-funded research program. This is a 12-month term, renewable annually for up to 2 years contingent upon funding. The immediate supervisor for this position will be Professor Majid Jaberi-Douraki.

The Research Associates/Postdocs will support the development and implementation of a centralized data clearinghouse for the Crash Preventability Determination Program (CPDP) by leveraging the 1

DATA 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 position 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.

Their work will support stakeholders in identifying patterns, trends, and risk factors associated with roadway incidents, ultimately informing evidence-based policies and interventions designed to improve traffic safety and reduce crashes.

About Us

Kansas State University Olathe, established in April 2011 as the newest campus in the K-State system, is located in Johnson County within the Greater Kansas City metro and plays a key role in the Johnson County Education and Research Triangle, a voter-supported partnership that generates more than $20 million annually to advance higher education through collaboration among Johnson County, the University of Kansas, and Kansas State University.

In addition to its strategic regional impact, K-State Olathe offers a collaborative and engaging work environment with strong professional development support, including employee tuition assistance, lunch-and-learns, campus workshops, Leadership Olathe, regional Chamber involvement, and community-building activities such as social events, service opportunities, and team-building programs.

Worksite Description

This position is Hybrid eligible. This position is Hybrid eligible. This role 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. The degree requirement is necessary to ensure candidates possess the specialized knowledge, skills and abilities that can only be attained through a formal educational program at this level.

* Demonstrated advanced, applied expertise in advanced 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 (e.g., Python, R, SQL, Tensor Flow, 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…