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. Currently available topics, application and more information: https://phdquantumgrenoble.univ-grenoble-alpes.fr/phd-application/available-phd-subjects PhD subjects (full list available via the attached link
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. Research areas include Representation Learning, Machine learning and Optimization on graphs and manifolds, as well as applications of geometric methods in the Sciences. This is a one-year position with
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for synthesizing electrospun membranes tailored to the requirements of our research and development projects. - Optimize synthesis parameters to enhance membrane performance in terms of selectivity, permeability
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optimizing their self-assembly properties for the development of functional biomaterials. Synthesize and characterize hydrogels based on biopolymers and other polymers combined with nanomaterials
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will be encouraged to develop thermodynamic interpretations of these mechanisms to optimize their efficiency. Analytical computations, processing and fitting of experimental data, paper writing
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of the envisioned underwater use case scenarios. The post-doctoral researcher will be responsible for the analysis and design of reconfigurable optical metasurfaces making use of optimization methodologies and
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for Artificial Intelligence. The position aims to strengthen methodological and algorithmic work on one or more of the following axes: Optimization and learning on very large models and datasets, improving
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applicable to the position: Developing, testing, and analyzing research related to chemical sensing technologies in water; designing, fabricating, and optimizing sensing platforms and functional materials
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optimization and LLM alignment: design preference-based training and fine-tuning methods (RLHF, PPO, DPO, reward modeling) for medical and multilingual LLMs. Agentic and tool-augmented AI systems: develop
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, chemists, engineers collaborate, each with their expertise, to carry out a scientific activity with a shared research goal. The “Advanced characterizations and optimized functional materials for energetic