Post

Visualizzazione dei post da luglio, 2026

National PhD in Artificial Intelligence - AI for Society

Are you interested in researching the future of human-centered Artificial Intelligence and its impact on society? Applications are now open for the multidisciplinary Italian National PhD Program in Artificial Intelligence - AI for Society. - All info here:   https://phd-ai-society.di.unipi.it/applications/ - Deadline: 10 August 2026, 13:00 CEST - Program start: 1 November 2026 - Duration: 3 years Program highlights - 36 fully funded, full-time PhD positions - Net monthly scholarship of approximately EUR 1,200 - Research budget of approximately EUR 11,000 over three years - Advanced multidisciplinary training in fundamental and applied AI research - Research topics at the intersection of AI, computer science, statistics, health, ethics, law, economics, physics, and human-centered technologies Admission requirements Applicants must hold, or obtain by 31 Octo...

Doctoral position in Bayesian spatiotemporal statistics for forest disturbance monitoring

A doctoral position currently open at the Laboratoire d’Inventaire Forestier, Institut National de l’Information Géographique et Forestière, in Nancy, France. The doctoral project will be supervised by Alexander Massey, a researcher in survey sampling and statistical inference for forests at the Laboratoire d’Inventaire Forestier. The project focuses on small-area estimation methods for forest disturbance monitoring using Bayesian spatiotemporal approaches. It should be of particular interest to students with a background in statistics, spatial modelling, Bayesian inference, environmental statistics, forest inventory, or related fields. Further details are available here: https://lif-geodata.github.io/LIF/phd-xrisks.html #phd

PhD Position in Financial and Insurance Mathematics @Zurich

The Chair of Quantitative Risk Analysis at the Department of Mathematical Modeling and Machine Learning is inviting applications for a PhD position in Financial and Insurance Mathematics. The successful candidate will be associated with the Zurich Graduate School of Mathematics and will work on research topics at the intersection of stochastics, financial and insurance applications, and machine learning. The doctoral thesis will focus on questions related to nonlinear pricing and model risk in finance and insurance. Possible research directions include the mathematical analysis of pricing and risk measurement under uncertainty, robust and nonlinear valuation methods, contagion models, and the use of machine learning techniques in financial and actuarial modeling. We are looking for a highly motivated and talented candidate with a strong background mathematics, in particular probability theory and stochastic analysis, and mathematical finance. The candidate should be interested in devel...

PhD and postdoc in computational methods for civil and environmental eng., TUM

The newly established Chair of Computational Methods in Civil and Environmental Engineering at the Technical University of Munich (TUM) develops advanced computational approaches for challenging problems in environmental and engineering sciences. Our research combines mathematical modeling, numerical simulation, scientific computing, and data-driven methodologies to improve the predictive capabilities and computational efficiency of large-scale simulations.   Your Responsibilities ·       Develop and analyze numerical algorithms, reduced-order models, and machine-learning-enhanced simulation techniques. ·       Implement computational methods in scientific software. ·       Collaborate within interdisciplinary research teams. ·       Present research results at international conferences and publish in leading scientific journals. ·       For the PhD position: pursue a doctoral degree at TUM. ...