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A full-time post-doctoral position in pavement infrastructure monitoring and assessment is available in the Department of Civil and Environmental Engineering at the University of New Hampshire. The successful candidate will be responsible for developing and coding workow processes and designing experiments for multisensory data collection from air- borne (unpiloted aerial systems) and vehicular mounted sensor systems for determining pavement functional and structural conditions. The project that the candidate will be working on is funded by U.S. Army Corps of Engineers' Cold Regions Research Engineering Lab (CRREL). Successful candidates should have a Ph.D. degree in Civil Engineering, Geography, or related eld with experience in geospatial data processing and python programming. Candidates should also have knowledge of optical, lidar, and ground penetrating radar sensing systems and understanding of pavement structures and condition assessment. Strong oral and written communication skills are essential, as is the ability to work well in a team setting and be highly self-motivated. The position will initially be for one year with the possibility for extension based on performance and continuation of funding.

• Developing work-ow 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 eld sites for multisensory data collection.
• Designing laboratory experiments for benchmarking sensor performances.

• Developing research products in form of technical reports, presentations and journal articles

• Supervising and mentoring undergraduate and graduate students

• PhD degree in Civil Engineering, Geography, or related elds

• Procient 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

• Established publication record in peer reviewed journals

• Experience with GIS, UAV data and data processing

Applicant 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.

Please be advised that this position is supported by external sponsor funding. As such, continued employment in this role is contingent upon the availability of those external funds. If, for any reason, the sponsor funding is reduced or discontinued, employment may be subject to modification or termination in accordance with applicable policies and procedures.

The University of New Hampshire is an R1 Carnegie classification research institution providing comprehensive, high-quality undergraduate and graduate programs of distinction. UNH is located in Durham on a 188-acre campus, 60 miles north of Boston and 8 miles from the Atlantic coast and is convenient to New Hampshire's lakes and mountains. There is a student enrollment of 13,000 students, with a full-time faculty of over 600, offering 90 undergraduate and more than 70 graduate programs. The University actively promotes a dynamic learning environment in which qualified individuals of differing perspectives, life experiences, and cultural backgrounds pursue academic goals with mutual respect and shared inquiry.

EEO Statement

The University System of New Hampshire is an Equal Opportunity/Equal Access employer. The University System is committed to creating an environment that values and supports diversity and inclusiveness across our campus communities and encourages applications from qualified individuals who will help us achieve this mission. The University System prohibits discrimination on the basis of race, color, religion, sex, age, national origin, sexual orientation, gender identity or expression, disability, genetic information, veteran status, or marital status.

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