Forskningsassistent, stratosfäriska polarvirveln och vädereffekter
Core
Analyzing stratospheric variability linked to the southern polar vortex and its impact on tropospheric circulation and surface weather/climate using reanalysis data.
Role type
Research Assistant (Atmospheric Physics & Machine Learning)
Builds
Research insights on extreme weather events and predictive capabilities of tropospheric circulation.
Domain
Atmospheric science, climate dynamics, machine learning
Deliverable
research
Required skills
climate modeling, analysis of climate data, unsupervised machine learning, archetype analysis, programming
Preferred skills
Matlab, Python
Responsibilities
Analyze extreme events (Sudden Stratospheric Warming) and their propagation to the troposphere; develop advanced mathematical methods for identifying multidimensional extreme patterns; investigate predictive ability of tropospheric circulation derived from SSW events.
Seniority
Junior, research assistant
