Post-doctoral Position in AI Causal models for Synchrotron Anomaly Detection H/F

Post-doctoral Position in AI Causal models for Synchrotron Anomaly Detection H/FJoin to apply for the Post-doctoral Position in AI Causal models for Synchrotron Anomaly Detection H/F role at CEAPost-doctoral Position in AI Causal models for Synchrotron Anomaly Detection H/F1 day ago Be among the first 25 applicantsJoin to apply for the Post-doctoral Position in AI Causal models for Synchrotron Anomaly Detection H/F role at CEAThis post-doctoral position is part of a collaboration between LIAD (Laboratory of Artificial Intelligence and Data Sciences, CEA Saclay), the NRX Nanostructures and X-Rays Team at CEA Grenoble, the University of Lorraine, CentraleSupélec, and the European Synchrotron (ESRF). It is jointly supervised by:Aurore Lomet, Research Engineer in AI at LIAD, CEA SaclayMarianne Clausel (University of Lorraine), scientific lead of the national PEPR causali-t-ai program,Myriam Tami, Associate Professor in Artificial Intelligence (Machine Learning and Statistics) at CentraleSupélec,Joël Eymery, Head of the Nanostructures and Synchrotron Radiation Team at CEA Grenoble,Jean-Sébastien Micha, Research Engineer at CNRS/ESRF,This Post-doctoral position focuses on the development of interpretable artificial intelligence methods for detecting and analysing anomalies in synchrotron beamline experiments.The objective is to develop Bayesian causal models and neural networks capable of identifying relevant causal relationships between instrumental parameters and observed anomalies. The work will include:building hierarchical causal graphs to account for the multi-scale structure of the experimental system,detecting latent variables that may affect causal inference,quantifying uncertainty in causal links,integrating the resulting models into neural networks (or other machine learning models) to detect and predict anomalies or anticipate failures.The research will be based on simulated and real data collected from beamline experiments and will require collaboration with specialists in physics, optics, and instrumentation. The position involves both methodological development and applied work, with expected contributions to scientific publications and participation in collaborative meetings with the partner institutions.Profil du candidatPhD in AI or statistics, machine learning or applied mathematics.Required skills and qualities:Fluency with Python programming for data analysis or machine learning,Knowledge of statistical or probabilistic modelling techniques,Interest in interdisciplinary work and scientific instrumentation,Ability to communicate effectively in English, both written and oral,Willingness to collaborate with researchers from different backgrounds.Localisation du poste SiteSaclayLocalisation du posteFrance, Ile-de-France, Essonne (91)VilleGif sur YvetteCritères candidat LanguesAnglais (Intermédiaire)Demandeur Disponibilité du poste01/09/2025Seniority levelSeniority levelNot ApplicableEmployment typeEmployment typeFull-timeJob functionJob functionResearch, Analyst, and Information TechnologyIndustriesResearch ServicesReferrals increase your chances of interviewing at CEA by 2xGet notified about new Postgraduate jobs in Saclay, Île-de-France, France.ALTERNANCE ASSISTANT RECHERCHE & ANALYSE ISR (H/F)Data Scientist II - Analysis (Based in Dubai, UAE)Levallois-Perret, Île-de-France, France 1 month agoReal Assets - Asset Management Analyst Intern(Associate) ISDA negotiator – based in LuxembourgJouy-en-Josas, Île-de-France, France 2 weeks agoAXA IM Prime - Hedge Fund Alternance - AXA Investment ManagersAlternative Credit - European Leveraged Loans & Private Debt Intern (July '25)Puteaux, Île-de-France, France 3 weeks agoReal Assets - Asset Management Analyst Intern - AXA Investment ManagersElectrical Specialist (Maintenance Fly Team)Postdoctoral Research Opportunity in Circular Economy and Plastic RecyclingWe’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr