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Description This project aims at developing plastic neural models that capture the insect navigational plasticity and resilience. 36 months (renewable +12 months) Simulation of navigating ant-agent models
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and to develop algorithms with a better complexity whenever possible. Some particularly interesting questions are the following: • Bound the cost to compute monodromy matrices or Stokes matrices of a
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7 Feb 2025 Job Information Organisation/Company CNRS Department LIP6 Research Field Computer science Mathematics » Algorithms Researcher Profile First Stage Researcher (R1) Country France
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- ical instabilities. By leveraging CADNA, we will automatically identify instability sources and try to fix/bypass them by combining our expertise on NEMO algorithms with CADNA developers' knowledge
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11 Mar 2025 Job Information Organisation/Company CNRS Department Laboratoire d'Informatique de l'Ecole Polytechnique Research Field Computer science Mathematics » Algorithms Researcher Profile First
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, reinforcement learning, temporal logic, automata learning, etc. More specifically, we will explore reinforcement learning techniques to develop black-box testing algorithms for timed automata. We will explore
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. The growing prevalence of data streams in real-world applications necessitates the development of efficient and adaptive algorithm configuration techniques. Traditional offline optimization approaches struggle
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consumption of Wi-Fi interfaces and to evaluate by simulation the dynamic adaptation algorithms developed within the FACTO project. - design of energy models for Wi-Fi interfaces - implementation and validation
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using infrared thermography to measure temperature fields on opaque and semi-transparent materials. - Experimental measurements - Model radiative flux by self-emission on real, non-gray media - Developing
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from the CNRS, the researcher will have to apply and develop a CSP (crystal structure prediction) methodology for the prediction and in silico design of materials. This could be based on generative