In our research we investigate the Earth system at the boundary between physics-based and machine learning approaches, to gain insights unavailable to either approach alone.
We also organize a biweekly seminar on machine learning at HZG, aimed at the scientific communities of the Helmholtz Institutes and the Hamburg area.
We publish our code on github, and are committed to software sharing as a principle of open and reproducible science.
If you’re interested in a position as a Master’s student, PhD or Postdoc, please write to David with a CV and statement of interest. Candidates should have curiosity, persistence and a solid foundation in machine learning, math, physics, algorithms or the geosciences.