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opportunities to address the complex challenges of modern society, to develop comprehensive new approaches, and educate the problem-solvers of tomorrow from a multidisciplinary perspective. The Faculty of Earth
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are developing state-of-the-art information and communication technologies to ensure that our systems are highly secure and reliable in the context of comprehensive digitalisation and global networking – Hereby we
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machine learning. The goal of this research project is to investigate how far standard proofs in numerical analysis and approximation theory can be automated by a (neural network) guided search over
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of these methods to problems in the physics of oxides, semiconductors and their surfaces. Machine learning methods will be used to close the complexity gap. Applicants will have outstanding achievements or show
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develop new security definitions which match practical applications, explore complexity-theoretic relations, develop novel, sophisticated proof techniques, and design schemes that provably satisfy strong
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machines, such as cranes and forklift trucks, is a strategic research goal. In the future, these machines will take over repetitive and dangerous tasks. To enable automation, many complex issues need to be
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of technology and society. • Ability to work independently and as part of a research team in a collaborative environment. • Proven ability to manage complex projects, prioritize tasks, and meet deadlines
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. Leadership and management competencies. Ability to work in interdisciplinary teams. High sense of responsibility. Desirable qualifications are: Ability to analyze complex longitudinal data, e.g. using
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are developing state-of-the-art information and communication technologies to ensure that our systems are highly secure and reliable in the context of comprehensive digitalisation and global networking – Hereby we
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data analytics, data fusion, machine learning and the design of complex algorithms is an advantage Special interest in applied research and solving practical problems Ability to work in a team