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of fiber optics in the 1970s has revolutionized the telecommunications industry upon the replacement of copper wires and played a major role in the advent of the Information Age - One high bandwidth fiber
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and software for high-throughput retinal recordings, to conduct the respective measurements, as well as to further develop the data-evaluation and signal-analysis pipeline. The work will be performed in
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Apply machine learning techniques for data analysis and time-series forecasting Collaborate in a multidisciplinary team to accelerate functional thin film development Your work will be part of a larger
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, including student tutoring and seminars. You will organize at least one full-week excursion for students and PhD students to visit the most interesting objects on site. Profile You are holding a university
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one of the programmes. It is home to a community of over 100 PhD, postdoctoral and Professorial researchers working on diverse themes related to sustainable cities and resilient infrastructure systems
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participate in the experiments, advise/guide for long-term knowhow transfer Publish the results in peer-reviewed journals and present at international conferences Your profile PhD degree in Physics or a related
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PhD in Computational Materials Physics or a related area is required. Experience with electronic structure calculations is essential. Familiarity with the use of machine-learning tools in materials
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modelling and/or empirical analysis. The research will ideally combine insights from economics and e.g. computer science. Profile Applicants should hold a PhD in Economics with a strong economic basis and
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are required to have: A completed PhD degree. Experience in machine-learning methods. Some skill in at least one of these topics: Large data sets analysis Statistics and uncertainty analysis (probabilistic
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Global) as one of the programmes. It is home to a community of over 100 PhD, Postdoctoral and Professorial researchers working on diverse themes related to sustainable cities and resilient infrastructure