Candidates should hold a PhD degree in engineering, computer science or applied mathematics. They should also demonstrate excellent research experience in their field, strong publication record and ability to do creative and significant research with relative level of autonomy. Applicants should ideally have good expertise in Deep Learning (DCNNs, Transformers, GANs, Diffusion Models) and Large Multimodal Language Models. Applicants should also demonstrate a strong background in statistics, optimisation, linear algebra, and proficient programming skills (C/C++ and/or Python e.g. PyTorch) with the Linux environment.
Required languages
Fluency in English. French is a plus
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