Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
therefore essential for trustworthy deployment. Current approaches mainly focus on software-level adversarial robustness or high-level fault tolerance. However, few methodologies jointly consider physical
-
, threats, and mitigations. Structure assets into a formal ontology usable in software/system engineering tools. Formal Taxonomy of Security Properties Refine high-level security goals into verifiable design
-
/candidatOffres/show/id_offre/133503 Requirements Specific Requirements Master’s students Required skills: machine learning, software engineering, cybersecurity, formal methods Additional Information Work Location
-
desirable Good knowledge of the Luxembourgish social sector as well as the structures of non-formal education in Luxembourg is an asset Proficient in data processing and analysis software (e.g., Atlas.ti
-
an assistant that offers real-time feedback and recommendations without disrupting agile development? Objectives The PhD will develop the ReqSecDes framework by combining AI-driven extraction and formalization
-
people, including about 100 researchers and professors and about 80 PhD students. The SPARKS team (Scalable and Pervasive softwARe and Knowledge Systems) is the largest team at I3S with a staff of 104
-
complex circuits. The team is particularly interested in formal methods and system verification to ensure reliability from the earliest development stages. A major research focus concerns hardware security
-
secondments: A three months secondment at ISAS with co-supervisor R. Heyer is planned to exchange on data formats and to be trained to exploit the new version of the MetaProteomeAnalyzer Software A three months
-
observations. Formally, this means that the output is multivariate (from 10 to 600 groups) and that the input has up to four dimensions (latitude, longitude, depth, time) for each variable (and there are over a