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The SnT Automation & Robotics Research Group is hiring a motivated PhD candidate for the bi-national project DOMINANTS (Dexterity-Oriented Methodology in Optimized Design and Control of Soft Aerial
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The University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character. The Interdisciplinary Centre for Security, Reliability and Trust (SnT) at the University of Luxembourg is a leading international research and innovation centre...
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to ingest data from various systems (e.g., SAP, APIs, databases) Ensure data quality, consistency, and lineage across all stages of the data lifecycle Optimize pipeline performance and resource usage in line
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management to improve the performance of the future wireless communication systems. Finally, due to the large-scale nature, complexity, and heterogeneity of 6G networks, for their analysis and optimization, we
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, biomolecular extraction, protocol optimization, as well as interaction with project partners and platform personnel. Your tasks include, but are not limited to: Cell culture (human cells [primary, cell lines
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techniques that optimize both aspects. The candidate will perform the work together with a team of postdoctoral researchers who are experts on the field and other PhD student working in the topic. In general
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). This project aims to accelerate the energy transition in Luxembourg by co-creating an ambitious research program. It will utilize a data-driven approach to support decision-making for an optimal energy system
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As a member of the central maintenance team (back-office maintenance), you will optimize and professionalize the operational maintenance activity (front-office) for all building techniques such as
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an ambitious research program. It will utilize a data-driven approach to support decision-making for an optimal energy system, with specific focus on cost-effectiveness, emission reduction, and social
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processing, signal processing, and network resource management to enhance performance. To optimize and analyze complex 6G networks, we use AI/ML, graph theory, and optimization techniques Furthermore, our