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both theoretical challenges and practical applications. Key Responsibilities: Develop innovative methods and tools for adaptive, AI-driven embedded algorithms to support real-time analytics and decision
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systems. The position offers an exciting opportunity to engage in cutting-edge research that addresses both theoretical challenges and practical applications. Key Responsibilities: Develop innovative
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of Science, Technology and Medicine (FSTM) at the University of Luxembourg plays a leading role in developing AI training programmes, coordinating talent development activities, and supporting outreach and
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of six Strategic Research Programs: Data Science for Tires, Tire as a Sensor, End-of-Life Tire Valorization, Sustainable Materials for Non-Pneumatic Tires, Sustainable Materials for Next Generation of
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actively contribute to the NCER-D2ET (Data-Driven Energy Transition Digital Twin) project, a national strategic initiative to develop Luxembourg’s energy digital twin platform. NCER-D2ET aims to design and
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, and reducing dependency on fossil fuels. To contribute to these objectives, the EMMA project targets to convert post-consumer polyolefins into valuable raw materials for high-end applications
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REcherche BEI) program. The successful candidate will join the SVV research group, headed by Prof. Domenico Bianculli. The group focuses on the development and design of reliable, safe, and secure software
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communications. A key focus will be the development of KMS (Key Management System) software for orchestrating QKD networks and the implementation of software frameworks based on SDN enabling the quantum internet
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to projects at the intersection of software-defined networking (SDN), software engineering, and quantum communications. A key focus will be the development of KMS (Key Management System) software
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developments. Dedicated support from highly skilled specialists in bioinformatics and statistics, helping you strengthen your research with cutting-edge analytical approaches. Access to state-of-the-art