Data Scientist/Machine Learning Expert

Working time: 100% (39 hours per week), limited to 3 years with the option to extend up to 6 years
Possible starting date: 01.01.2021 or upon agreement

Your tasks:

Understanding the drivers between large climate-related impacts is crucial for improving climate risk assessments under present and future climate conditions. New developments in the area of machine learning and in particular interpretable machine learning offer new opportunities for attributing climate impacts to their driving weather conditions that are characterised by complex interactions in space, time and between variables. The new Helmholtz Young Investigator Group COMPOUNDX (Detecting compound climate features of extreme impacts) is looking for an expert in data science and machine learning who is interested in applying their skills to improve our understanding of climate risks today and in the future.

We seek someone who can complement our team to

• Apply (interpretable) machine learning to better understand climate impacts such as floods, crop failure, low carbon uptake or wildfires
• Follow new developments in (interpretable) machine learning, translate and apply them to pressing research questions in Earth system sciences
• Support the group with expertise on state-of-the-art data science and machine learning methods

Your profile:

• Excellent data science and machine learning skills including deep learning (e.g. CNNs)
• Experience with common machine learning toolboxes such as TensorFlow, PyTorch, Keras or similar
• Interest in interpretable machine learning
• Experience with code sharing and version control e.g. via GitHub
• Self-driven personality able to work both independently and in a team
• Prepared to work in a highly interdisciplinary environment
• PhD in Computer Science, Applied Mathematics, Engineering, Environmental Sciences or related field
• Excellent oral and written communication skills in English

We offer:

• Excellent technical facilities which are without parallel
• Work in interdisciplinary, 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

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