Position Summary
We are seeking a Pavement Data Collection and Processing Engineer to support pavement condition assessment, asset management, and maintenance planning projects. The role involves planning and executing pavement data collection activities, processing and validating large datasets from automated and manual surveys (if any), and producing high-quality technical outputs to support engineering analysis and decision-making.
The successful candidate will work closely with project managers, survey teams, and pavement engineers to ensure that pavement data is accurate, consistent, and aligned with applicable standards and client requirements.
Key Responsibilities
LCMS-2 Operations & Data Collection
- Plan, coordinate, and support pavement data collection activities, including automated surveys (e.g., LCMS, laser profilers, imaging systems) and manual visual inspections.
- Ensure field data collection is carried out in accordance with approved methodologies, standards, and safety requirements.
- Operate and manage the LCMS-2 system mounted on a survey vehicle, ensuring all sensors (lasers, cameras, IMU, DMI, GPS) are calibrated and functioning correctly.
- Perform daily system checks, pre- and post-mission calibrations, and basic troubleshooting of hardware and software issues in the field.
Data Processing & Project Support:
- Ensure the integrity and quality of raw data collected during surveys.
- Process raw LCMS-2 data using proprietary software (e.g., ROMDAS) to extract pavement distress metrics, including cracking, rutting, roughness (IRI), and macrotexture.
- Perform quality control and quality assurance (QC/QA) on processed data to ensure accuracy and consistency.
- Process raw pavement data into structured datasets suitable for analysis and reporting.
- Perform data validation, quality checks, and consistency reviews on collected pavement condition data.
- Utilize data processing tools and techniques to clean, preprocess, and transform raw pavement data into usable formats.
- Collaborate with pavement engineers/ raters to ensure the data is appropriately structured for analysis.
- Apply severity classifications and thresholds in line with project requirements and industry standards to modify the default data received from machine processing.
- Manage and organize large datasets using spreadsheets, databases, and specialized pavement software.
- Maintain clear documentation of data processing workflows, assumptions, and revisions.
- Generate comprehensive reports and visualizations to communicate findings and recommendations to management and relevant stakeholders.
- Identify opportunities for process optimization and propose improvements to enhance data collection, processing, and analysis efficiency.
- Generate comprehensive pavement condition data collection reports and data deliverables in required formats.