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Posting Description POSTDOCTORAL ASSOCIATE, Civil and Environmental Engineering, will carry out research to develop methods to estimate the economic and environmental impact of pavements and
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 2 hours ago
and Evaluation and AC 150 5320-10H, and airport and stakeholder partner practices in design, construction, operation, and maintenance of airfield pavements. Required qualifications: A PhD degree from a
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the future? PhD Research Fellow in Civil Engineering and Infrastructure Materials Apply for this job See advertisement Welcome to USN The University of Southeastern Norway (USN) ranks as the country's fourth
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• Finite element analysis using MOOSE and ABAQUS • Constitutive models of asphalt binder and mixture, balanced mix design and pavement engineering • Drone surveying using LiDAR and photogrammetry
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systems, multi-scale modelling of pavement materials and structures, reuse of materials, structures and parts of structures, assessment methods for structures, smart monitoring techniques, design methods
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 2 months ago
USNH Employees should apply within Workday through the Jobs Hub app A full-time post-doctoral position in pavement infrastructure monitoring and assessment is available in the Department of Civil
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Transportation Engineering CE 417 Pavement Materials & Design CE 418 Design in Reinforced Concrete CE 466 Geotechnical Modelling CE 470
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and temporal coverage. This PhD project addresses these challenges by developing innovative methods to assess railway embankment health through the integration of multiple monitoring technologies
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traffic demands increase, there is a growing need for innovative methods to continuously assess track condition and predict deterioration. This PhD project addresses this challenge by developing a novel
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. Traditional inspection approaches can be costly, time-consuming, and limited in spatial and temporal coverage. This PhD project addresses these challenges by developing innovative methods to assess railway