The machine learning working group develops innovative and learning based methods for analyzing real-world data. With other DLR institutes we examine practical applications with machine learning methods.
As our new team member you will develop robust and explainable machine learning methods, in particular in the field of deep learning with neural networks (DNN), independently of a specific application. You will apply and evaluate sensitivity analyses on training data. Thereby, a focus is to connect uncertainty estimations on trained models and methods explaining and interpreting the results of the models or the models themselves. You will stay in contact with other DLR institutes in order to understand the specific fields, for example, earth observation or robotics, and develop suitable algorithms and practices.
The machine learning group is in close collaboration with the DLR remote sensing technology institute in Oberpfaffenhofen as well as partners of the Friedrich-Schiller university in Jena. Your main task at this job position is the scientific research and development in the field of machine learning.
Your tasks:
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.
Dr. Julia Fligge-Niebling
Institute of Data Science
Phone: +49 3641 30960-152
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