PostDoc (m/f/x)
Subject: Benchmarking process-based models with data analytics - BEMODA
Working time: 100% (39 hours per week), limited to 2 yearsYour tasks:
- Development of data analytics concepts using machine-learning for probabilistic soil moisture regionalization
- Pixel-based image analysis (e.g. remote sensing imagery)
- Development of optimal sampling strategies for sparse regional cosmic-ray neutron measurements
- Benchmark model-based soil moisture prediction by mHM with data analytics
Your profile:
- PhD in one of the following subjects: Hydrology, Computer Science, Mathematics, Physics
- Background in data science, programming, and numerical mathematics
- Experience in application and implementation of data analytical approaches and/or machine learning
- Experience with geo-information data and image analysis are of advantage
- Relevant publication record and/or open source repositories
We offer:
- Excellent technical facilities which are without parallel
- The freedom you need to bridge the difficult gap between basic research and close to being ready for application
- Work in inter-disciplinary, multinational teams and excellent links with national and international research networks
- A vibrant region with a high quality of life and a wide cultural offering for a balance between family and professional life
- Interesting career opportunities and an extensive range of training and further education courses
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