The Geometry and Meshing for Simulation group at CASE department is looking for an R2 Researcher in high-order methods in the context of Artificial Intelligence for Science (AI4Science). The candidate must have experience in computational methods as well as in the development of software prototypes that implement the research methods. The candidate will be engaged in the current projects to work under the supervision of the project principal investigator.
The funding for these actions/fellowships and contracts comes from the European Union Recovery and Resilience Facility - Next Generation, within the framework of the General Invitation by the public business entity Red.es to participate in the talent attraction and retention programs within Investment 4 of Component 19 of the Recovery, Transformation, and Resilience Plan.
For more information, please check: https://www.bsc.es/join-us/excellence-career-opportunities/ai4s
Key Duties
- Research on high-order methods in the context of AI for Science
- Research on discontinuous Galerkin methods
- Research on boundary unfitted methods or boundary fitted methods
- Help with the supervision of students
- Implementation of prototypes
Data de tancament: Dijous, 31 Octubre, 2024
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