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. The team specializes in multi-sensor methods, tensor decompositions and component analysis for the joint processing of multimodal data, notably in the context of invasive (intracardiac electrograms) and non
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to hardware topology while retaining useful observables. The project addresses this by combining circuit co-design for Google's Willow processor, and classical benchmarking using Pauli propagation and tensor
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, computer science, or engineering within the past 5 years. Previous theoretical and/or computational research experience in tensor networks, Monte Carlo, machine learning or a related field Proficiency in quantum
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, evaluation, RLVR, PEFT, quantisation, tensor/data parallelism. Ideally, the candidate should have familiarity with CUDA kernels and/or Triton, and inference engines (vLLM, SGLang, et cetera). Experience coding
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dynamics, initially focusing on quantum-inspired techniques such as tensor networks and tensor-network-based machine learning. You will then investigate how these methods can be reformulated and implemented
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Inria, the French national research institute for the digital sciences | Grenoble, Rhone Alpes | France | about 2 months ago
. Scientific and technical challenges include, but are not limited to, compilation, execution systems, tensor arithmetic, complex system simulation, and hardware-software co-design for AI acceleration
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on three main tasks. The first task is to perform centroid-moment tensor inversions for small (M < 1) induced events in the Groningen area, yielding valuable insight into the ability to invert waveforms
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to hardware topology while retaining useful observables. The project addresses this by combining circuit co-design for Google's Willow processor, and classical benchmarking using Pauli propagation and tensor
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, geophysical field monitoring and numerical reservoir modelling. This postdoctoral researcher will work on three main tasks. The first task is to perform centroid-moment tensor inversions for small (M < 1
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the computational foundations of probabilistic programming, such as automatic differentiation, tensor libraries (PyTensor, JAX), gradient-based samplers, or model transpilation and compilation. Experience with