Scientific activities / projects
Causal inference and explainable AI
The Climate Informatics working group at German Aerospace Center’s Institute of Data Science combines innovative data science methods from different fields (causal inference, nonlinear dynamics, deep learning) and closely works with experts in the climate sciences. Climate Informatics is a challenging and promising research field where a concentrated effort will have a high impact both to advance science and to address climate change topics of critical importance for the society. The core methodological topics include causal inference and causal discovery for spatio-temporal dynamical systems, nonlinear time series analysis, machine learning and deep learning. But the methods are flexible and open for your ideas!
To support your international research experience, the group has a generous travel budget for conferences and extended research stays. Currently, we have collaborators at Imperial College London, Oxford, Carnegie Mellon University, National Center for Atmospheric Research (NCAR), and California Institute of Technology, and more.
Look forward to a fulfilling job with an employer who appreciates your commitment and supports your personal and professional development. Our unique infrastructure offers you a working environment in which you have unparalleled scope to develop your creative ideas and accomplish your professional objectives. Our human resources policy places great value on a healthy family and work-life-balance as well as equal opportunities for persons of all genders (f/m/x). Individuals with disabilities will be given preferential consideration in the event their qualifications are equivalent to those of other candidates.
Mathematician, Physicist, Computer Scientist or similar (f/m/x) - Causal inference and explainable AI
|Jobkennzeichen||Connecticum Job-Nr. 1351435|
|Arbeitgeber-Profil:||Deutsches Zentrum für Luft- und Raumfahrt (DLR)|
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