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**Department of Mathematics and Statistics, McGill University, Montreal**
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Jean-Christophe Nave
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## Positions Available:
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### Master projects:
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We are looking for talented and motivated master students in computational physics, applied mathematics or data-science.
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The proposed Master's projects can be carried out either as a 6-month internship or as part of a Master's thesis.
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These projects are funded, and we only accept Master students who are interested in pursuing a PhD afterwards.
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The projects can take place within one of three teams: CEA Cadarache, LAGA–Paris, or I2M (Aix-Marseille University) in collaboration with McGill University.
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- Evolving flow maps using neural-semi Lagrangian method: [Proposal](https://characteristicmappingmethod.github.io/assets/projects/neural_SL_CMM.pdf)
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- Data-assimilation for plasma simulations: [Proposal](https://characteristicmappingmethod.github.io/assets/projects/adjoint_plasma.pdf)
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- Learning neural operators for drift kinetic equations
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### PhD + PostDoc Positions
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Two positions are available within our research consortium. Candidates will be integrated into one of our partner teams.
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-**Position 1**: [Machine Learning for Kinetic Plasma Simulations](https://characteristicmappingmethod.github.io/assets/projects/PHD_AI_CMM.pdf)
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-**Position 2:**[High-Performance Plasma Simulations for Magnetically Confined Fusion](https://characteristicmappingmethod.github.io/assets/projects/PHD_PLASMA_CMM.pdf)
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For interested candidates, please don't hesitate to contact one of our team members.
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[Visit the old Adaptive-CMM project →]({{ '/adaptive-cmm/' | relative_url }})
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