Sebastien Gros

New PhD opening in statistical models and methods for large-scale spatio-temporal data at the Norwegian University of Science and Technology (NTNU) . The position is announced in the context of the Norwegian Center on AI for Decisions and is described as an exciting research project with a strong industrial and academic ecosystem. The research theme is centered on statistics , mathematical modeling , and computational methods for large-scale spatio-temporal data, with clear links to computer science , AI for decisions , and data-intensive research. This is a PhD fellowship rather than a postdoctoral or master's opening. The announcer is Sebastien Gros , Professor in Engineering Cybernetics at NTNU, with an additional affiliation shown for EPFL. The post suggests a strong supervision team, but no individual co-supervisors are named in the provided text. No explicit deadline, stipend amount, tuition details, or language-test waiver are stated in the excerpt provided here. Interested applicants should follow the official vacancy link on Jobbnorge for the full eligibility criteria, required documents, and submission instructions. Best-fit academic areas: Statistics , Computer Science , Mathematics , and related engineering/data-science fields.

New PhD fellowship at the Norwegian University of Science and Technology (NTNU) in the area of statistical models and methods for large-scale spatio-temporal data . The position is announced in connection with the Norwegian Center on AI for Decisions and is described as part of an exciting research project with a strong industrial and academic ecosystem. This opportunity is relevant for candidates interested in statistics , mathematical modeling , computer science , and data-driven methods for complex spatio-temporal data . The post highlights strong supervision and a research environment spanning academia and industry. Institution: Norwegian University of Science and Technology (NTNU), Norway. Position level: PhD opening. Research keywords: statistical models, methods, large-scale data, spatio-temporal analysis, AI for decisions. Funding: PhD fellowship; no stipend amount or detailed funding package is stated in the post excerpt. Eligibility: The excerpt does not list detailed requirements such as degree background, grades, or language tests; applicants should consult the full Jobbnorge advertisement for complete criteria. Application: Use the Jobbnorge link provided in the post to access the official vacancy page and submit the application through the portal. Check the full announcement for documents, deadline, and any additional instructions.