35 computer-security "https:" "https:" "https:" "https:" "https:" "Dr" "Robert Gordon University" PhD positions in Luxembourg
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within the project AI4TECS Writing a doctoral dissertation in computer science Publishing research findings in leading international conferences and high‑impact journals in AI, machine learning, 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
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join the Theoretical Chemical Physics group led by Prof. Alexandre Tkatchenko, supervised by Dr. Igor Poltavskyi, working on: As a Ph.D. candidate, you will work on a cutting-edge, multidisciplinary
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As the successful candidate, you will primarily contribute to a partnership project with STATEC, the National Statistics Institute in Luxembourg. The successful candidate will join the Security
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infrastructure, and is currently expanding its research activities in exploring several emerging topics of next-generation communications and computing systems. For more details, you may refer to the following
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to the project outcomes. The Doctoral researcher will be supervised by Prof. Viti, and will be enrolled to the Doctoral School in Sciences and Engineering (DSSE). The supervision will also be supported by Dr. Ma
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the study of software engineering methods and approaches for quantum computing platforms. Successful PhD candidates will extensively explore and develop software security and software engineering techniques
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assessment instruments are combined to gain a differentiated insight into family influence processes. The project is led by Prof. Dr. Anna Kornadt (Uni Luxembourg), Prof. Dr. Michaela Riediger and Dr. Antje
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administrative tasks within the department (up to a limited percentage of time) For ruther information about the role please contact Dr. Carolina Catunda: carolina.catunda@uni.lu
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! Education · PhD in computer science, engineering, applied mathematics, physics, or another STEM discipline. · Demonstrated experience with mathematical and numerical optimization methods