Postdoctoral Researcher-landslide and glacier based geohazards in High Mountain Asia
We invite applications for a postdoctoral research position to study landslide and glacier based geohazards in High Mountain Asia. This region encompasses one of the world’s greatest watersheds, but it is also a highly active tectonic zone where big and fatal landslides triggered by earthquakes or monsoon rains often block rivers and cause downstream outburst flooding. Additionally, these rivers receive meltwater from the glaciers, which are retreating rapidly and producing abundant meltwater and creating large proglacial and supraglacial lakes. The lakes are commonly bounded by steep topography and unstable ice-cored moraine. Lake containment failures can lead to the sudden discharge of huge volumes of water and debris, which could severely impact downstream infrastructure and cause longterm secondary environmental degradation. A successful candidate is expected to study and model the dynamics of these high mountain hazards.
The appointment will be for 1 year, with continuation pending funding and progress. The position is eligible for benefits.
• Ph.D. - ABD by time of application in Earth or Environmental sciences/Engineering (e.g., geology, geography, geosciences, glaciology, civil engineering) with strong technical skills, particularly in the programming, machine learning, hydro-glaciological modeling, and DEM/remote sensing data analysis (e.g., Keyhole, Corona, ASTER, Landsat, Sentinel, Planet, etc.). Ph.D. by start date
• Candidate must have experience using GIS (e.g., ArcGIS) and remote sensing software (Envi, ERDAS, eCognition), and ability to use HEC-RAS, FlowR, and COSI-Corr software.
• Landslide-glaciology-hydrology field experience in the high altitude mountainous environment.
• Publication record as lead author in peer-reviewed journals.
• Ability to conduct research independently.
• Experience collecting UAV data, and working in structure from motion workflow.
• Successful experience using Python/Matlab for programming and data analysis.
• Articulated interest in and flexibility necessary to respond quickly to time-sensitive research events.
• Record of publication in a high-impact top-tier journal.