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seeks to advance knowledge in the following domains: Formal verification and interactive theorem proving (Rocq, Lean) Secure and high-performance computer systems, including ML infrastructure We seek
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collaborative research support to the EPFL community and external partners. The successful candidate will create a vision for the strategic development of the platform, driving its implementation while
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multidisciplinaire dans une école de renommée internationale. Des conditions de travail attractives. Informations Afin de mieux comprendre votre approche et votre vision stratégique, nous vous remercions de
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constructivement les orientations et une vision systémique éclairant la prise de décision. Alignement institutionnel : Préparer, structurer et suivre les dossiers stratégiques en lien transversal avec la
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institutional regulations. Project background Understanding human motivation requires methods that go beyond questionnaires and simplified computer-based tasks. This project aims to develop more naturalistic, yet
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advanced computational modeling, mathematical modeling, or experimental psychology. Profile We thrive on interdisciplinary collaboration. You should hold a PhD in musicology, computer science, cognitive
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regular faculty, and gradually progresses to the latter. Instructors are expected to be able to teach courses in English or French. Applicants should have a PhD in Mathematics or in Computer Science
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Engineering, Mathematics, Computer Science, or a related quantitative field A strong mathematical background, including familiarity with optimization, probability, and the analysis of mathematical models A
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Information Modelling (BIM), Geographic Information Systems (GIS) or computer programming is a plus. A master's degree or professional experience in architecture is preferred but not required. The employment
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background, and an outstanding MSc degree in Engineering, Computer Science, Physics, Applied Mathematics, or a related field. You should be proficient in or willing to learn generative deep learning – in