Background
The Arctic is important for global change particularly as sea ice declines and glacial meltwater and river inputs change. However, Arctic observations are still limited, and multiple datasets are required to comprehend the large-scale Arctic Ocean–sea ice–atmosphere system.

By examining various datasets from hydrography, sea surface height, surface winds and runoff, this project is to further our understanding of how ocean circulation and freshwater pathways change. Using output from numerical models will extend the analysis in space and time and help us understand the context of glacial meltwater and other processes at the Arctic boundary. It will also shed light on their potential effects on lower latitudes.

Tasks

• Data processing and synthesis, including statistical techniques (e.g., optimal interpolation)
• Analysis of observations and model output using oceanographic theory
• Combining different data products to obtain ocean velocity
• Using output from other research to extend the analysis beyond the Arctic as well as temporally
• Presenting the results at conferences and publishing in scientific journals

Requirements

• A good Master’s degree or the equivalent in physical oceanography or environmental science
• A good understanding of ocean dynamics and observation
• Willingness to join oceanographic research expeditions and collaborate with colleagues
• Good knowledge of at least one high-level programming language (e.g., MATLAB, Python)
• Experience in marine field work and in using reanalysis or model products are assets
• Good communication skills in English, both oral and written