Monitoring and Characterization of Deep-Seated Landslides
      
  
  Faculty mentor/Supervisor
              Ben Leshchinsky
          Email Address
              
          Department Affiliation
              Forest Engineering Resources & Management
          Project Location
              Corvallis, Various Sites in the Oregon Coast Range and Oregon Coast
          Project Description
              Very large, deep-seated landslides affect communities and infrastructure worldwide, often through slow ground movements in the order or inches per year. However, on occasion, these landslides fail catastrophically with disastrous consequences. This project will include installation and maintenance of field sensors for ground movements, mapping and analysis of landslides, and laboratory testing and characterization of soil and rock from these landslide features.
          Describe the type of work and tasks you anticipate the student will perform
              This work will involve mapping using GIS and Google Earth, analysis of lidar, fieldwork to install GPS monitoring systems and other instruments on slow-moving landslides, preparation and testing of soil and rock samples. 
          Please list special or preferred skills
              Preferred qualities would include an enjoyment of fieldwork and being outside, rain (most likely) or shine. Some limited experience in google earth or ArcGIS or QGIS would be beneficial as well.
          Hourly rate of pay
              17.00
          Certification
              Yes
          What is the expected timeline of this project?
              September 2025-September 2026
          Are special skills or knowledge required to work on this project?
              Yes
          Will training be provided?
              Yes
          How many hours per week do you anticipate a student to work?
              ~10 hours per week
          How many hours per week do you anticipate engaging in direct mentorship?
              ~3 hours per week (faculty), ~10 hours per week (grad student)
          Work with student and PhD student on tasks during weekly group meetings. Train student on requisite skills for project. Provide career advice and guidance as desired from selected candidate.