Research Group Leader / Young Investigator Group Leader (m/f/d) in Artificial Intelligence for Earth System Analytics and Modelling
Our Institute of Coastal Research at Helmholtz-Zentrum Geesthacht (HZG) invites applications for a 5-year Research Group Leader/ Young Investigator Group Leader (m/f/d) position in the field of Artificial Intelligence in Earth System Analytics and Modelling. The position is part of the local Hub of the Helmholtz Artificial Intelligence Cooperation Unit, for further information see HAICU.The HAICU-Local Unit Artificial Intelligence for Earth System Analytics and Modelling will focus on the application of advanced machine learning methods to Earth System and Climate Science, specifically focusing on Earth System Analytics, Earth System Modelling and Predictability.
Preferred starting date is as soon as possible, ideally not later than January, 1st, 2020. A connection of the position to the University of Hamburg with teaching responsibility and the right to supervise and examine PhD candidates is desired; all details of this connection can be negotiated, based on personal qualifications. A joint W2 appointment procedure with the University of Hamburg is not excluded.
HZG is moreover strongly involved in the Cluster of Excellence Climate, Climate Change and Society CliCCS at the University of Hamburg together with the Max-Planck Institute for Meteorology and other partners. The activity of this group will likely be highly relevant for several cluster projects and contributing to societal relevant climate research and support societal adaptation to climate change.
The Helmholtz-Association initiated the Helmholtz Artificial Intelligence Cooperation Unit (HAICU). This future-oriented network for applied Artificial Intelligence will develop, implement, and disseminate methods of Artificial Intelligence for purposes including the analysis of complex systems in the fields of energy, transport, climate, and health. HAICU consists of an internationally visible, central unit in Munich and five local units at further Helmholtz Centers that focus on specific HGF research areas.
To boost the broad application of new powerful Machine Learning algorithms to Earth System Science, the HAICU local unit ‘Artificial Intelligence Innovation for Earth System Analytics and Modelling (AIM)’ has been established at the Helmholtz-Centre Geesthacht (HZG) and the German Climate Computing Centre (DKRZ) in Hamburg. AIM consists of a Research Group (RG) / Young Investigator Group (YIG) and an AI Consultant Group. The RG/YIG Group will be based within the research unit System Analysis and Modelling (head Prof Corinna Schrum) at the Institute of Coastal Research in Geesthacht. A focus of the RG / YIG will be on deep learning for improving predictions of extremes and climate change. Further topics are application of machine learning for data assimilation and reduced-complexity models. The application-oriented research will be conducted in close collaboration with other research departments at HZG, including the Climate Service Center Germany (GERICS) in Hamburg, as well as other collaborating institutions.
- lead the AIM Research Group/Young Investigator Group on application of AI to environmental and climate research
- development and implementation of AIM research projects in close collaboration with scientists at the unit and beyond
- supervision of PhD candidates and Postdocs within the Group
- report on quality measurements and control mechanisms based on defined criteria and milestones
- ensure intensive exchange with AI consultants at DKRZ and HAICU Central and other HAICU local units and foster cross-topic collaboration
- M.Sc. and PhD in geoscience-related subjects, mathematics or computer science, or related disciplines
- strong scientific track record and ideally experience in mentoring and teaching and / or outreach
- high degree of creativity and flexibility; enjoying independence and creative freedom
- strong interest and previous experience in complex machine learning tasks and in application of supervised and unsupervised learning techniques
- ability to identify and apply application dependent complex machine learning techniques to coastal and climate research challenges, making use of existing expertise within the HAICU units
- strong communication skills and ability to work in an interdisciplinary team
==> Closing date for applications is August 25, 2019
==> Further details for this job offer code-no. 2019/KS 9