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suitable candidate A detailed CV Academic transcripts from your Bachelor’s and Master’s and PhD’s degrees Email addresses of at least two references Interested applicants should send the necessary documents
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PhD/Postdoc position in trustworthy data-driven control and networked AI for rehabilitation robotics
learning • robotics and/or mechatronics • computer languages C, C++ and Python and interest to work in an interdisciplinary environment are desired. German language skills are necessary for this position
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letter, CV and, if applicable, letter of recommendation in electronic form to: Mr. Tobias Netter tobias.netter@tum.de Tel: 0049 89 289 16291 Technische Universität München Lehrstuhl für Energiesysteme
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. Requirements: Completed university degree in computer science or applied mathematics, remote sensing, geophysics, physics, or related areas Expertise in computer vision and/or machine learning (deep learning
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available at https://www7.in.tum.de/~kretinsk/positions.html Applications online by email to jan.kretinsky@tum.de (subject = "application for position") with attached CV, transcript of records, motivation
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computer aided methods. Qualifications and Experience • Outstanding academic degree in materials science, metallurgy, metal physics or similar degree • Excellent doctorate with focus on computational
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research interests, your qualifications, and why you would be a suitable candidate • A detailed CV • Academic transcripts from your Bachelor’s and Master’s degrees • Email addresses of at least two
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sensors and apply them to novel applications. Technically, your work will involve the design and construction of optics and electronics, clean room fabrication and software development, as well as theory