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- ASSOCIACAO ISCTE CONHECIMENTO E INOVACAO - CENTRO DE VALORIZACAO E TRANSFERENCIA DE TECNOLOGIAS
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methods that can accurately model such processes remains an open and active research frontier. This PhD project is fundamentally about advancing that frontier, contributing new methods for generative
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First Stage Researcher (R1) Positions PhD Positions Application Deadline 29 Apr 2026 - 23:59 (Europe/Lisbon) Country Portugal Type of Contract Temporary Job Status Full-time Is the job funded through
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fellowship is part of the newly established AI Centre for the Empowerment of Human Learning (AI LEARN) . Your immediate leader will be the leader of the Software Engineering unit . About the project This PhD
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: LRGP (University of Lorraine – CNRS), LPSM (Sorbonne University – CNRS), the utility EDF R&D, and the process simulation software provider Fives ProSim. PHD DESCRIPTION: The PhD is part of Work Package 3
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PhD studentship in Computer Science: From Formal Requirements to Specification-based Automated Testing for Safety-Critical Medical Device Software Certification Award Summary 100% fees covered, and
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science related discipline. Demonstrated competence in applied quantitative methods, including regression analysis, evidenced through formal coursework, a quantitative dissertation or project, or equivalent
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. This PhD project explores how formal requirements and automated testing can produce clear, traceable, regulator-ready evidence for medical device software certification. Part of the international PlaTFoRm
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PhD Position in Sequential Decision-Making Faculty: Faculty of Science Department: Department of Information and Computing Sciences Hours per week: 36 to 40 Application deadline: 15 May 2026
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on developing scalable AI and NLP methods for Knowledge Graph Construction. Stipend 2: The PhD student, hosted by the Department of Society and Politics, will guide the Knowledge Graph Construction using
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their scientific training through the development of research work, whether or not integrated into R&D projects. Selection process Selection Methods: The assessment will focus on the assessment of academic training