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