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crystals by solid state spectroscopy techniques, dominantly vibrational spectroscopy, carried out in the laboratory and at large scale facilities. This PhD position will focus on antiferroelectric crystals
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Applications should include: Curriculum Vitae Cover letter Contact information of two or three referees Research statement and topics of particular interest to the candidate (max 1 page) Early application is highly encouraged, as the applications will be processed upon reception. To ensure full...
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Application Deadline 17 Feb 2026 - 01:11 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to
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will pursue a Ph.D. degree (Doctorate) in computer science or software engineering with a focus on differential privacy (DP) and other secure computing techniques while collaborating with the Ministry
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website: https://wwwen.uni.lu/snt/research/finatrax/projects. The Ph.D. candidate will focus on information systems within computer science and engineering while collaborating with Luxembourg’s Ministry for
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Applications should include: Curriculum Vitae Cover letter A one-page research proposal (referencing the HOFA3 chapter) Transcript of academic records (including grades) and copies of diplomas Names and contact details of at least two references willing to write recommendation letters (they will...
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between Edge Aerospace SARL and the CritiX group at SnT to explore safety aware space computing systems for resilient information processing. The challenges we aim to address include withstanding
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integrating local flexibility markets through distributed AI-based coordination, market mechanism design, and cloud-to-edge computing. It aims to develop scalable machine learning methods for coordinating grid
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integrating local flexibility markets through distributed AI-based coordination, market mechanism design, and cloud-to-edge computing. It aims to develop scalable machine learning methods for coordinating grid
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), sensing technologies (fiber-optic sensors, DIC), and computer science (machine learning tools). The aim of this Ph.D. project is to develop a novel bridge monitoring technique based on CLCE coating