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24.04.2026, Academic staff At the Chair of Space Mobility and Propulsion at TU Munich, we focus on innovations in propulsion hardware and software to advance sustainable and autonomous mobility
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Computing, Cryptography, Satellite Systems, Vehicular Networks, and ICT Services & Applications. Your role We offer a fully funded PhD student position within the Trustworthy Software Engineering (TruX
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on a mass spectrometer coupled to the FELIX laser. Along the way, you will develop and utilize a range of advanced skills, including imaging technologies design and simulation software, analytical and
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software. Familiarity with deep learning platforms (e.g. TensorFlow, PyTorch). Funding and eligibility The project is fully funded by DSTL, due to funding requirement this studentship is only available
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student will work closely with POST Telecom’s company (Luxembourg), who is co-funding this PhD position. Research Environment The PhD student will join the Secure and Reliable Software Engineering and
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scalable multilingual AI systems. TruX conducts research in software security, software repair, and explainable software to create key practical solutions for developers, allowing them to achieve
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role involves designing and integrating real-time software algorithms with robotic hardware, including perception, control, communication, and safety modules to enable safe, precise, and reliable remote
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to provide the skills needed to analyze, develop, and contribute to the interdisciplinary area of artificial intelligence, autonomous systems and software. Through an ambitious program with research visits
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PhD Studentship available on the RAINZ CDT programme at The University of Manchester. Project Overview Abstract: Complex software-driven systems, including autonomous robotics, are typically
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statistical software. Prepares reports and presentations based on research findings. Collaborates with team members and contribute to project discussions. Supports administrative tasks related to research