50 phd-position-in-data-modeling-"Prof"-"Prof" PhD positions at University of Luxembourg
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attracting highly qualified talent. We look for researchers from diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security
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The PhD position will be focused on conducting innovative research in the field of teacher education through the Growing schools; Growing futures project, newly funded by Œuvre Nationale de Secours
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for our employees and students. General information: Contract Type: Fixed Term Contract 36 Month Work Hours: Full Time 40.0 Hours per Week Planned start date: October/November 2025 Location: Campus Belval
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backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and ICT Services
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application to a PhD and your educational training that prepared you for academic research on the topic of the research project Publication list (if applicable) Two recommendation letters from previous
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attracting highly qualified talent. We look for researchers from diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security
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The SigCom research group of SnT, headed by Prof. Symeon Chatzinotas, focuses on wireless/satellite communications and networking. The research areas focus on the formulation, modeling, design, and
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Qualification: Master in Computer Science and/or Cybersecurity or equivalent degrees with expertise in at least one of the above areas (dependability, real-time systems, operating systems) Experience in dependable systems, real-time and embedded systems and/or operating systems and the threats...
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group at University of Luxembourg, led by Prof. Jan Lagerwall (project coordinator), the Soft and Biofunctional Materials group at NOVA University Lisbon, Portugal, led by Prof. Maria Helena Godinho, and
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computational models and data analysis code to process large, multimodal behavioral datasets using both traditional methods (e.g., factor analysis) as well as more modern approaches (e.g., deep learning