About the Company
At the Technical University of Munich (TUM), as part of the MountAInWater project funded by Schmidt Sciences, we offer one PhD or Postdoc position (m/f/d) to work on the development and application of a hybrid land surface model combining process-based and machine learning components, designed for alpine regions.
Key Responsibilities
- Develop machine learning (ML) methodologies appropriate for emulating high-resolution process-based land-surface models
- Combine process-based land surface and vegetation model components with data-driven model parts, e.g. in the framework of Neural Differential Equations
Requirements
- Masters / PhD degree in physics, mathematics, computer science, meteorology, or a related field
- Excellent skills and strong background in programming (Python and Julia)
- Experience in working with Earth system model simulations
- Experience in machine learning
- Willingness to travel for work (project meetings, workshops, and research visits) and to take part in further training
- High level of competence in oral and written English
Benefits
- The chance to be part of an interdisciplinary collaboration of leading international research institutions
- Participation in international workshops and conferences
- A stimulating working environment in an internationally leading research institution
- A collective pay scheme and associated benefits