– Equivalent research experience such as published research findings in top-tier journals and conferences or a PhD / MD in Computer Science, Electrical Engineering, Mathematics, or a related quantitative discipline;
– Strong background in machine learning and mathematical statistics;
– Practical experience and a profound understanding of modern DL architectures, especially focusing on transformers and their variants;
– Proficient programming skills (any language, with Python being preferable);
– Hands-on experience of conducting high-quality research;
– Background in analysing large, unstructured, and noisy datasets;
– A PhD (in Computer Science, Electrical Engineering, Mathematics, or a related quantitative discipline) or equivalent research experience.