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CNRS seeks a researcher to contribute to the ERC NEMESIS project at IMAG, Montpellier. The role involves developing and analyzing efficient linear solvers for mixed formulations within a Discrete de Rham framework.
Applicants should hold a PhD in applied mathematics and have experience with PDE discretization methods and programming. The position is full-time, starting January 2027, on site at Campus Triolet, Montpellier, within a ~35 hour week.
Organisation/Company CNRS Department Institut Montpelliérain Alexander Grothendieck Research Field Mathematics History » History of science Researcher Profile First Stage Researcher (R1) Application Deadline 5 Oct 2026 - 23:59 (UTC) Country France Type of Contract Temporary Job Status Full-time Hours Per Week 35 Offer Starting Date 11 Jan 2027 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No
The candidate will have to carry out research on the themes of the ERC NEMESIS Synergy project (see https://erc-nemesis.eu/ ), in particular on the development and analysis of efficient linear solvers for mixed formulations.
The aim of this project is to build an integrated computing chain based on "Discrete de Rham" methods, the main feature of which is to reproduce subtle mathematical properties expressed by Hilbert complexes at the discrete level. The developments envisaged within the NEMESIS project involve combining highly sophisticated tools for numerical analysis, scientific computing, algebraic topology and non-linear analysis.
The activities may include:
The recruited researcher will carry out research tasks in IMAG, within the ERC NEMESIS project team, led in IMAG by two principal investigators, Jérôme Droniou (CNRS) and Daniele Di Pietro (University of Montpellier). Located on the Campus Triolet of the University of Montpellier, IMAG is one of the gateways to mathematics in “Occitanie-est” Region. It comprises about 170 members and is structured into 4 research teams : Modeling, Analysis, and Scientific Computing (MACS), Didactics and Epistemology of Mathematics (DEMA), Probability and Statistics (EPS), and Geometry, Topology, and Algebra (GTA).
The successful candidate will hold a PhD in applied mathematics, and will have knowledge of PDE discretization methods such as finite elements, finite volumes, etc., and of associated linear solvers. Practical knowledge of at least one programming language is essential.