Postdoctoral Research Associate, Infrastructure Monitoring & Assessment

Duties/Responsibilities

• Developing work-flow processes and coding them to automate processing of multisensory data from air-borne (unpiloted aerial systems) and vehicular mounted sensor systems for determining pavement functional and structural conditions.
• Identifying pavement field sites for multisensory data collection.
• Designing laboratory experiments for benchmarking sensor performances.

Minimum Acceptable Education & Experience

• PhD degree in Civil Engineering, Geography, or related fields.

Required Knowledge, Skills & Abilities

• Profound in geospatial data processing
• Python programming experience
• Knowledge of optical, lidar, and ground penetrating radar sensing systems
• General understanding of pavements and condition assessment
• Strong oral and written communication skills
• Ability to work in a team setting and be self-motivated

Preferred Qualifications

• Experience with GIS
• UAV data and data processing

Other Requirements

• Established publication record in peer reviewed journals

Application Instructions

Applicants should be prepared to upload the following documents when applying online within the Resume/Cover Letter section of your application:

• Resume/CV
• Cover Letter
• Contact Information for 3 Professional References
• Research Statement

Applications that are missing any of the required items may not move forward for consideration. Additional uploaded documents not requested in the position announcement will not be reviewed.